In this survey, we review the core methods of active learning, including the evaluation of informativeness and sampling strategy.
Missing: applications | Show results with:applications
Oct 22, 2023 · In this survey, we review the core methods of active learning, including the evaluation of informativeness and sampling strategy.
The AI-powered systems for medical image analysis have approached the performance of human experts in certain clinical tasks. Notable examples include skin ...
The core methods of active learning are reviewed, including the evaluation of informativeness and sampling strategy, and perspectives on the future trends ...
Oct 22, 2024 · Medical Image Segmentation (MIS) is a crucial task in medical image analysis, and holds significant importance for clinical assessment, ...
In this repo, we provide a paper list of active learning in the fields of medical image analysis and computer vision.
This review systematically summarizes the latest research in multi-organ segmentation and categorized existing approaches into three major classes: fully ...
Nov 12, 2022 · This survey aims to identify commonly used methods, datasets, future trends, knowledge gaps, constraints, and limitations in the field
Missing: active applications
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A comprehensive survey on deep active learning in medical image analysis ... In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.
September 2024, Volume679(IssueComplete) - Information Sciences · A comprehensive survey on deep active learning in medical image analysis. Authors. Haoran Wang ...