Titlebook: Medical Image Learning with Limited and Noisy Data; First International Ghada Zamzmi,Sameer Antani,Zhiyun Xue Conference proceedings 2022

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Medical Image Learning with Limited and Noisy Data978-3-031-16760-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Conference proceedings 2022with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data..

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https://doi.org/10.1007/978-3-031-16760-7Computer Science; Informatics; Conference Proceedings; Research; Applications

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寄生蟲

Heatmap Regression for?Lesion Detection Using Pointwise Annotationsection show our point-based method performs competitively compared to training on expensive segmentation labels. Finally, our detection model provides a suitable pre-training for segmentation. When fine-tuning on only?17 segmentation samples, we achieve comparable performance to training with the full dataset.

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朋黨派系

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0302-9743 selected papers focus on the challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data..978-3-031-16759-1978-3-031-16760-7Series ISSN 0302-9743 Series E-ISSN 1611-3349