Proceedings of the 1st Workshop on Scarce Data in Artificial Intelligence for Healthcare最新文献

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Segmenting Overlapping Red Blood Cells With Classical Image Processing and Deep Learning 基于经典图像处理和深度学习的重叠红细胞分割
Nils Brünggel, P. Vallotton, Patrick Conway
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引用次数: 0
SANO: Score-based Anomaly Localization for Dermatology 基于评分的皮肤异常定位
Alvaro Gonzalez-Jimenez, Simone Lionetti, L. Amruthalingam, P. Gottfrois, M. Pouly, A. Navarini
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引用次数: 1
Towards Reducing the Need for Annotations in Digital Dermatology with Self-supervised Learning 通过自我监督学习减少对数字皮肤病学注释的需求
Fabian Gröger, P. Gottfrois, L. Amruthalingam, Alvaro Gonzalez-Jimenez, Simone Lionetti, A. Navarini, M. Pouly
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引用次数: 0
How Much Data is Enough? Benchmarking Transfer Learning for Few Shot ECG Image Classification 多少数据才足够?基于基准迁移学习的小镜头心电图像分类
Sathvik Bhaskarpandit
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引用次数: 0
Eye-tracking Dataset to Support the Research on Autism Spectrum Disorder 支持自闭症谱系障碍研究的眼动追踪数据集
Federica Cilia, Romuald Carette, Mahmoud Elbattah, Jean-Luc Guérin, Gilles Dequen
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引用次数: 2
Data Augmentation for Reliability and Fairness in Counselling Quality Classification 数据增强对咨询质量分类可靠性和公平性的影响
Vivek Kumar (Ph.D), Simone Balloccu, Zixiu "Alex" Wu, Ehud Reiter, Rim Helaoui, Diego Recupero, Daniele Riboni
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引用次数: 3
PT-MESS: A Problem-transformation Approach for Multi-event Survival Analysis PT-MESS:多事件生存分析的问题转换方法
Michela Venturini, F. Nakano, C. Vens
{"title":"PT-MESS: A Problem-transformation Approach for Multi-event Survival Analysis","authors":"Michela Venturini, F. Nakano, C. Vens","doi":"10.5220/0011531600003523","DOIUrl":"https://doi.org/10.5220/0011531600003523","url":null,"abstract":"","PeriodicalId":369121,"journal":{"name":"Proceedings of the 1st Workshop on Scarce Data in Artificial Intelligence for Healthcare","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133858062","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
Towards Reducing Segmentation Labeling Costs for CMR Imaging using Explainable AI 利用可解释的人工智能减少CMR成像的分割标记成本
Alessa Stria, Asan Agibetov
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引用次数: 0
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