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Proceedings. International Conference on Image Processing最新文献

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AUTOMATED COLITIS DETECTION FROM ENDOSCOPIC BIOPSIES AS A TISSUE SCREENING TOOL IN DIAGNOSTIC PATHOLOGY. 从内镜活检中自动检测结肠炎作为诊断病理学的组织筛选工具。
Proceedings. International Conference on Image Processing Pub Date : 2012-01-01 DOI: 10.1109/ICIP.2012.6467483
Michael T McCann, Ramamurthy Bhagavatula, Matthew C Fickus, John A Ozolek, Jelena Kovačević
{"title":"AUTOMATED COLITIS DETECTION FROM ENDOSCOPIC BIOPSIES AS A TISSUE SCREENING TOOL IN DIAGNOSTIC PATHOLOGY.","authors":"Michael T McCann,&nbsp;Ramamurthy Bhagavatula,&nbsp;Matthew C Fickus,&nbsp;John A Ozolek,&nbsp;Jelena Kovačević","doi":"10.1109/ICIP.2012.6467483","DOIUrl":"https://doi.org/10.1109/ICIP.2012.6467483","url":null,"abstract":"<p><p>We present a method for identifying colitis in colon biopsies as an extension of our framework for the automated identification of tissues in histology images. Histology is a critical tool in both clinical and research applications, yet even mundane histological analysis, such as the screening of colon biopsies, must be carried out by highly-trained pathologists at a high cost per hour, indicating a niche for potential automation. To this end, we build upon our previous work by extending the histopathology vocabulary (a set of features based on visual cues used by pathologists) with new features driven by the colitis application. We use the multiple-instance learning framework to allow our pixel-level classifier to learn from image-level training labels. The new system achieves accuracy comparable to state-of-the-art biological image classifiers with fewer and more intuitive features.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"2012 ","pages":"2809-2812"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICIP.2012.6467483","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32706952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
OTITIS MEDIA VOCABULARY AND GRAMMAR. 中耳炎的词汇和语法。
Proceedings. International Conference on Image Processing Pub Date : 2012-01-01 DOI: 10.1109/ICIP.2012.6467492
Anupama Kuruvilla, Jian Li, Pablo Hennings Yeomans, Pedro Quelhas, Nader Shaikh, Alejandro Hoberman, Jelena Kovačević
{"title":"OTITIS MEDIA VOCABULARY AND GRAMMAR.","authors":"Anupama Kuruvilla,&nbsp;Jian Li,&nbsp;Pablo Hennings Yeomans,&nbsp;Pedro Quelhas,&nbsp;Nader Shaikh,&nbsp;Alejandro Hoberman,&nbsp;Jelena Kovačević","doi":"10.1109/ICIP.2012.6467492","DOIUrl":"https://doi.org/10.1109/ICIP.2012.6467492","url":null,"abstract":"<p><p>We propose an automated algorithm for classifying diagnostic categories of otitis media (middle ear inflammation); acute otitis media, otitis media with effusion and no effusion. Acute otitis media represents a bacterial superinfection of the middle ear fluid and otitis media with effusion a sterile effusion that tends to subside spontaneously. Diagnosing children with acute otitis media is hard, leading to overprescription of antibiotics that are beneficial only for children with acute otitis media, prompting a need for an accurate and automated algorithm. To that end, we design a feature set understood by both otoscopists and engineers based on the actual visual cues used by otoscopists; we term this <i>otitis media vocabulary</i>. We also design a process to combine the vocabulary terms based on the decision process used by otoscopists; we term this <i>otitis media grammar</i>. The algorithm achieves 84% classification accuracy, in the range or outperforming clinicians who did not receive special training, as well as state-of-the-art classifiers.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"2012 ","pages":"2845-2848"},"PeriodicalIF":0.0,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICIP.2012.6467492","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32500358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
FAST EDGE-FILTERED IMAGE UPSAMPLING. 快速边缘滤波图像上采样。
Proceedings. International Conference on Image Processing Pub Date : 2011-09-14 DOI: 10.1109/icip.2011.6115636
Shantanu H Joshi, Antonio L Marquina, Stanley J Osher, Ivo Dinov, Arthur W Toga, John D Van Horn
{"title":"FAST EDGE-FILTERED IMAGE UPSAMPLING.","authors":"Shantanu H Joshi, Antonio L Marquina, Stanley J Osher, Ivo Dinov, Arthur W Toga, John D Van Horn","doi":"10.1109/icip.2011.6115636","DOIUrl":"10.1109/icip.2011.6115636","url":null,"abstract":"<p><p>We present a novel edge preserved interpolation scheme for fast upsampling of natural images. The proposed piecewise hyperbolic operator uses a slope-limiter function that conveniently lends itself to higher-order approximations and is responsible for restricting spatial oscillations arising due to the edges and sharp details in the image. As a consequence the upsampled image not only exhibits enhanced edges, and discontinuities across boundaries, but also preserves smoothly varying features in images. Experimental results show an improvement in the PSNR compared to typical cubic, and spline-based interpolation approaches.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":" ","pages":"1165-1168"},"PeriodicalIF":0.0,"publicationDate":"2011-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3273962/pdf/nihms-293047.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30450105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
COMBINING GLOBAL AND LOCAL FEATURES FOR FOOD IDENTIFICATION IN DIETARY ASSESSMENT. 在膳食评估中结合全球和地方特征进行食物识别。
Proceedings. International Conference on Image Processing Pub Date : 2011-09-01 Epub Date: 2011-12-29 DOI: 10.1109/ICIP.2011.6115809
Marc Bosch, Fengqing Zhu, Nitin Khanna, Carol J Boushey, Edward J Delp
{"title":"COMBINING GLOBAL AND LOCAL FEATURES FOR FOOD IDENTIFICATION IN DIETARY ASSESSMENT.","authors":"Marc Bosch, Fengqing Zhu, Nitin Khanna, Carol J Boushey, Edward J Delp","doi":"10.1109/ICIP.2011.6115809","DOIUrl":"10.1109/ICIP.2011.6115809","url":null,"abstract":"<p><p>Many chronic diseases, such as heart diseases, diabetes, and obesity, can be related to diet. Hence, the need to accurately measure diet becomes imperative. We are developing methods to use image analysis tools for the identification and quantification of food consumed at a meal. In this paper we describe a new approach to food identification using several features based on local and global measures and a \"voting\" based late decision fusion classifier to identify the food items. Experimental results on a wide variety of food items are presented.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"2011 ","pages":"1789-1792"},"PeriodicalIF":0.0,"publicationDate":"2011-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4123454/pdf/nihms327443.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32574355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TEMPORAL REGISTRATION OF PARTIAL DATA USING PARTICLE FILTERING. 使用粒子滤波的部分数据的时间配准。
Proceedings. International Conference on Image Processing Pub Date : 2011-01-01 DOI: 10.1109/ICIP.2011.6116064
Guy Nir, Allen Tannenbaum
{"title":"TEMPORAL REGISTRATION OF PARTIAL DATA USING PARTICLE FILTERING.","authors":"Guy Nir,&nbsp;Allen Tannenbaum","doi":"10.1109/ICIP.2011.6116064","DOIUrl":"https://doi.org/10.1109/ICIP.2011.6116064","url":null,"abstract":"<p><p>We propose a particle filtering framework for rigid registration of a model image to a time-series of partially observed images. The method incorporates a model-based segmentation technique in order to track the pose dynamics of an underlying observed object with time. An applicable algorithm is derived by employing the proposed framework for registration of a 3D model of an anatomical structure, which was segmented from preoperative images, to consecutive axial 2D slices of a magnetic resonance imaging (MRI) scan, which are acquired intraoperatively over time. The process is fast and robust with respect to image noise and clutter, variations of illumination, and different imaging modalities.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":" ","pages":"2177-2180"},"PeriodicalIF":0.0,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICIP.2011.6116064","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31579727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
AN IMAGE ANALYSIS SYSTEM FOR DIETARY ASSESSMENT AND EVALUATION. 一种膳食评估与评价图像分析系统。
Proceedings. International Conference on Image Processing Pub Date : 2010-01-01 DOI: 10.1109/ICIP.2010.5650848
Fengqing Zhu, Marc Bosch, Carol J Boushey, Edward J Delp
{"title":"AN IMAGE ANALYSIS SYSTEM FOR DIETARY ASSESSMENT AND EVALUATION.","authors":"Fengqing Zhu, Marc Bosch, Carol J Boushey, Edward J Delp","doi":"10.1109/ICIP.2010.5650848","DOIUrl":"10.1109/ICIP.2010.5650848","url":null,"abstract":"<p><p>There is a growing concern about chronic diseases and other health problems related to diet including obesity and cancer. Dietary intake provides valuable insights for mounting intervention programs for prevention of chronic diseases. Measuring accurate dietary intake is considered to be an open research problem in the nutrition and health fields. In this paper, we describe a novel mobile telephone food record that provides a measure of daily food and nutrient intake. Our approach includes the use of image analysis tools for identification and quantification of food that is consumed at a meal. Images obtained before and after foods are eaten are used to estimate the amount and type of food consumed. The mobile device provides a unique vehicle for collecting dietary information that reduces the burden on respondents that are obtained using more classical approaches for dietary assessment. We describe our approach to image analysis that includes the segmentation of food items, features used to identify foods, a method for automatic portion estimation, and our overall system architecture for collecting the food intake information.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":" ","pages":"1853-1856"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3198857/pdf/nihms327455.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30231263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
COMPLEX DIFFUSION ON IMAGE GRAPHS. 图像图上的复扩散。
Proceedings. International Conference on Image Processing Pub Date : 2009-11-07 DOI: 10.1109/ICIP.2009.5413577
Dohyung Seo, Baba C Vemuri
{"title":"COMPLEX DIFFUSION ON IMAGE GRAPHS.","authors":"Dohyung Seo, Baba C Vemuri","doi":"10.1109/ICIP.2009.5413577","DOIUrl":"10.1109/ICIP.2009.5413577","url":null,"abstract":"<p><p>Complex diffusion was introduced in image processing literature as a means to achieve simultaneous denoising and enhancement of scalar valued images. In this paper, we present a novel geometric framework for achieving complex diffusion on color images expressed as image graphs. In this framework, we develop a new variational formulation for achieving complex diffusion. This formulation involves a modified harmonic map functional and is quite distinct from the Polyakov action described in earlier work by Sochen et al. Our formulation provides a framework for simultaneous (feature preserving) denoising and enhancement. We present results of comparison between the complex diffusion, and Beltrami flow all in the image graph framework.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"2009 ","pages":"2969-2972"},"PeriodicalIF":0.0,"publicationDate":"2009-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2873042/pdf/nihms-163217.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29006789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
VARIATIONAL LEVEL-SET WITH GAUSSIAN SHAPE MODEL FOR CELL SEGMENTATION. 基于高斯形状模型的变分水平集细胞分割。
Proceedings. International Conference on Image Processing Pub Date : 2009-01-01 DOI: 10.1109/ICIP.2009.5413463
A Gelas, K Mosaliganti, A Gouaillard, L Souhait, R Noche, N Obholzer, S G Megason
{"title":"VARIATIONAL LEVEL-SET WITH GAUSSIAN SHAPE MODEL FOR CELL SEGMENTATION.","authors":"A Gelas, K Mosaliganti, A Gouaillard, L Souhait, R Noche, N Obholzer, S G Megason","doi":"10.1109/ICIP.2009.5413463","DOIUrl":"10.1109/ICIP.2009.5413463","url":null,"abstract":"<p><p>In analysis of microscopy based images, a major challenge lies in splitting apart cells that appear to overlap because they are too densely packed. This task is complicated by the physics of the image acquisition that causes large variations in pixel intensities. Each image typically contains thousands of cells with each cell having a different orientation, size and intensity histogram. In this paper, a spatial intensity model of a nucleus is incorporated into [1] to aid cell segmentation from microscopy datasets. An energy functional is defined and with it the spatial intensity distribution of a nuclei is modeled as a Gaussian distribution with constant intensity background. Experimental results on a variety of microscopic data validate its effectiveness.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":" ","pages":"1089-1092"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3129814/pdf/nihms300000.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29992631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modeling Spatial Patterns of Shapes. 形状的空间模式建模。
Proceedings. International Conference on Image Processing Pub Date : 2008-12-12 DOI: 10.1109/ICIP.2008.4711962
Anuj Srivastava, Wei Liu, Shantanu H Joshi
{"title":"Modeling Spatial Patterns of Shapes.","authors":"Anuj Srivastava, Wei Liu, Shantanu H Joshi","doi":"10.1109/ICIP.2008.4711962","DOIUrl":"10.1109/ICIP.2008.4711962","url":null,"abstract":"<p><p>We introduce a framework for modeling spatial patterns of shapes formed by multiple objects in an image. Our approach is graph-based where each node denotes an object and attributes of a node consist of that object's shape, position, orientation, and scale. Neighboring node are connected by edges, and they are allowed to interact in terms of their attributes/features. Similar to a Markov random field, but now applied to more sophisticated features space, the interactions are governed by energy functionals that can be internal or external. The internal energies, composed entirely of interactions between nodes, may include similarity between shapes and pose. The external energies, composed of outside influences, may include the data-likelihood term and the a-priori information about the shapes and the locations of the objects.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"2008 ","pages":"1144-1147"},"PeriodicalIF":0.0,"publicationDate":"2008-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2995284/pdf/nihms245082.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29513424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PROCESS FLOW FOR CLASSIFICATION AND CLUSTERING OF FRUIT FLY GENE EXPRESSION PATTERNS. 果蝇基因表达模式分类和聚类的流程。
Proceedings. International Conference on Image Processing Pub Date : 2008-12-12 DOI: 10.1109/ICIP.2008.4711856
Andreas Heffel, Peter F Stadler, Sonja J Prohaska, Gerhard Kauer, Jens-Peer Kuska
{"title":"PROCESS FLOW FOR CLASSIFICATION AND CLUSTERING OF FRUIT FLY GENE EXPRESSION PATTERNS.","authors":"Andreas Heffel, Peter F Stadler, Sonja J Prohaska, Gerhard Kauer, Jens-Peer Kuska","doi":"10.1109/ICIP.2008.4711856","DOIUrl":"10.1109/ICIP.2008.4711856","url":null,"abstract":"<p><p>The rapidly growing collection of fruit fly embryo images makes automated Image Segmentation and classification an indispensable requirement for a large-scale analysis of in situ hybridization (ISH) - gene expression patterns (GEP). We present here such an automated process flow for Segmenting, Classification, and Clustering large-scale sets of Drosophila melanogaster GEP that is capable of dealing with most of the complications implicated in the images.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"1 1","pages":"721-724"},"PeriodicalIF":0.0,"publicationDate":"2008-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2800053/pdf/nihms111832.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"28625981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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