Proceedings of the 2022 International Conference on Intelligent Medicine and Health最新文献_第2页

A Heart Sound Classification Algorithm Based on Bispectral Analysis and Deep Learning 基于双谱分析和深度学习的心音分类算法

Proceedings of the 2022 International Conference on Intelligent Medicine and Health Pub Date : 2022-08-19 DOI: 10.1145/3560071.3560072

Chundong Xu, Zhengjie Yang, Cheng Zhu

引用次数: 1

Integration of Diagnosis Application Data using FHIR: The Panoramix case study 利用FHIR集成诊断应用数据:Panoramix案例研究

Proceedings of the 2022 International Conference on Intelligent Medicine and Health Pub Date : 2022-08-19 DOI: 10.1145/3560071.3560088

M. J. Fernández-Iglesias, L. Anido-Rifón, Sonia Valladares‐Rodriguez, Moisés R. Pacheco-Lorenzo

引用次数: 1

Purely Image-based Vault Prediction with Domain Prior Supervision for Intraocular Lens Implantation 人工晶状体植入术中基于领域先验监督的纯图像拱顶预测

Proceedings of the 2022 International Conference on Intelligent Medicine and Health Pub Date : 2022-08-19 DOI: 10.1145/3560071.3560079

Huihui Fang, Yifan Yang, Yu-lan Di, Zhen Qiu, Junde Wu, Mingkui Tan, Yan Luo, Yanwu Xu

{"title":"Purely Image-based Vault Prediction with Domain Prior Supervision for Intraocular Lens Implantation","authors":"Huihui Fang, Yifan Yang, Yu-lan Di, Zhen Qiu, Junde Wu, Mingkui Tan, Yan Luo, Yanwu Xu","doi":"10.1145/3560071.3560079","DOIUrl":"https://doi.org/10.1145/3560071.3560079","url":null,"abstract":"Myopia is the most common eye disorder in the world, and posterior chamber phakic intraocular lens implantation, as a myopia correction surgery, has been widely used in clinics due to its reversibility, wide range of correction degree, and retention of the lens adjustment ability. We address the problem of vault prediction, which assists to ensure the safety of this myopia correction surgery. The existing methods need to measure the eye parameters first and then use the regression method, which is very time-consuming and has subjective errors. Thus, we aim to design an automatic deep learning-based method for vault prediction only considering anterior segment optical coherence tomography (AS-OCT) images. Specifically, a deep neural network is utilized to extract the image features, and then a regression module is designed to predict the vault. Furthermore, we introduce domain prior supervision into the deep learning framework. Anterior chamber structure segmentation obtained by semi-supervised learning is considered to provide additional structural features. The prediction of auxiliary measurements, which are related to the vault, is designed to deeply supervise the learning process. Experiments on our dataset (465 test samples) show that the proposed method can reduce the mean absolute error by 39.36-57.34 and 7.39-9.20 compared with the multiple regression methods and machine learning-based methods, respectively. These results show that it is promising to predict vault using AS-OCT images without parameter measurement.","PeriodicalId":249276,"journal":{"name":"Proceedings of the 2022 International Conference on Intelligent Medicine and Health","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117176016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Named Entity Recognition in Electronic Medical Records Based on Transfer Learning 基于迁移学习的电子病历命名实体识别

Proceedings of the 2022 International Conference on Intelligent Medicine and Health Pub Date : 2022-08-19 DOI: 10.1145/3560071.3560086

Kunli Zhang, Chenghao Zhang, Yajuan Ye, Hongying Zan, Xiaomei Liu

引用次数: 2

ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion ACSGRegNet:一种基于深度学习的腰椎CT无监督关节仿射和微分同构配准框架

Proceedings of the 2022 International Conference on Intelligent Medicine and Health Pub Date : 2022-08-04 DOI: 10.1145/3560071.3560081

Xiaoru Gao, Guoyan Zheng

{"title":"ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion","authors":"Xiaoru Gao, Guoyan Zheng","doi":"10.1145/3560071.3560081","DOIUrl":"https://doi.org/10.1145/3560071.3560081","url":null,"abstract":"Registration plays an important role in medical image analysis. Deep learning-based methods have been studied for medical image registration, which leverage convolutional neural networks (CNNs) for efficiently regressing a dense deformation field from a pair of images. However, CNNs are limited in its ability to extract semantically meaningful intra- and inter-image spatial correspondences, which are of importance for accurate image registration. This study proposes a novel end-to-end deep learning-based framework for unsupervised affine and diffeomorphic deformable registration, referred as ACSGRegNet, which integrates a cross-attention module for establishing inter-image feature correspondences and a self-attention module for intra-image anatomical structures aware. Both attention modules are built on transformer encoders. The output from each attention module is respectively fed to a decoder to generate a velocity field. We further introduce a gated fusion module to fuse both velocity fields. The fused velocity field is then integrated to a dense deformation field. Extensive experiments are conducted on lumbar spine CT images. Once the model is trained, pairs of unseen lumbar vertebrae can be registered in one shot. Evaluated on 450 pairs of vertebral CT data, our method achieved an average Dice of 0.963 and an average distance error of 0.321mm, which are better than the state-of-the-art (SOTA).","PeriodicalId":249276,"journal":{"name":"Proceedings of the 2022 International Conference on Intelligent Medicine and Health","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128326205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Proceedings of the 2022 International Conference on Intelligent Medicine and Health 2022年智能医学与健康国际会议论文集

Proceedings of the 2022 International Conference on Intelligent Medicine and Health Pub Date : 1900-01-01 DOI: 10.1145/3560071

引用次数: 0