A comprehensive review of benchmark datasets for deep learning-based medical image segmentation

This paper undertakes a systematic investigation of the medical image segmentation benchmark datasets, which play a crucial role in the notable progress of medical image segmentation task. The datasets serve as the foundational infrastructure comparable to a backbone that supports and drives the development of medical image segmentation. Consequently, examination of these datasets emerges as a critical topic in research. In order to address the current lack of a systematic summary and thorough a

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ethics.ai (1 August 2026), “A comprehensive review of benchmark datasets for deep learning-based medical image segmentation,” evidence record 15590, https://ethics.ai/record/15590 (originally published by Artificial Intelligence Review).

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