Medical ultrasound, and preterm, perinatal and paediatric image analysis最新文献

Perinatal, Preterm and Paediatric Image Analysis: 7th International Workshop, PIPPI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings 围产期，早产儿和儿科图像分析:第七届国际研讨会，PIPPI 2022，与MICCAI 2022一起举行，新加坡，2022年9月18日，会议录

Medical ultrasound, and preterm, perinatal and paediatric image analysis Pub Date : 2022-01-01 DOI: 10.1007/978-3-031-17117-8

引用次数: 0

Differentiating Operator Skill during Routine Fetal Ultrasound Scanning using Probe Motion Tracking. 在常规胎儿超声扫描中使用探针运动跟踪区分操作员技能。

Medical ultrasound, and preterm, perinatal and paediatric image analysis Pub Date : 2020-10-01 DOI: 10.1007/978-3-030-60334-2_18

Yipei Wang, Richard Droste, Jianbo Jiao, Harshita Sharma, Lior Drukker, Aris T Papageorghiou, J Alison Noble

引用次数: 0

A Curriculum Learning Based Approach to Captioning Ultrasound Images. 基于课程学习的超声图像字幕方法。

Medical ultrasound, and preterm, perinatal and paediatric image analysis Pub Date : 2020-10-01 DOI: 10.1007/978-3-030-60334-2_8

Mohammad Alsharid, Rasheed El-Bouri, Harshita Sharma, Lior Drukker, Aris T Papageorghiou, J Alison Noble

{"title":"A Curriculum Learning Based Approach to Captioning Ultrasound Images.","authors":"Mohammad Alsharid, Rasheed El-Bouri, Harshita Sharma, Lior Drukker, Aris T Papageorghiou, J Alison Noble","doi":"10.1007/978-3-030-60334-2_8","DOIUrl":"10.1007/978-3-030-60334-2_8","url":null,"abstract":"<p><p>We present a novel curriculum learning approach to train a natural language processing (NLP) based fetal ultrasound image captioning model. Datasets containing medical images and corresponding textual descriptions are relatively rare and hence, smaller-sized when compared to the datasets of natural images and their captions. This fact inspired us to develop an approach to train a captioning model suitable for small-sized medical data. Our datasets are prepared using real-world ultrasound video along with synchronised and transcribed sonographer speech recordings. We propose a \"dual-curriculum\" method for the ultrasound image captioning problem. The method relies on building and learning from curricula of image and text information for the ultrasound image captioning problem. We compare several distance measures for creating the dual curriculum and observe the best performance using the Wasserstein distance for image information and tf-idf metric for text information. The evaluation results show an improvement in all performance metrics when using curriculum learning over stochastic mini-batch training for the individual task of image classification as well as using a dual curriculum for image captioning.</p>","PeriodicalId":93127,"journal":{"name":"Medical ultrasound, and preterm, perinatal and paediatric image analysis","volume":"12437 ","pages":"75-84"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7116255/pdf/EMS96576.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38531575","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

Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis: First International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings 医学超声，早产，围产期和儿科图像分析:第一届国际研讨会，ASMUS 2020，第五届国际研讨会，PIPPI 2020，与MICCAI 2020一起举行，秘鲁利马，2020年10月4日至8日，论文集

Medical ultrasound, and preterm, perinatal and paediatric image analysis Pub Date : 2020-01-01 DOI: 10.1007/978-3-030-60334-2

R. Licandro, J. Noble

引用次数: 1