{
  "id": 15590,
  "url": "https://link.springer.com/article/10.1007/s10462-026-11662-y",
  "title": "A comprehensive review of benchmark datasets for deep learning-based medical image segmentation",
  "summary": "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",
  "authors": null,
  "category": "research",
  "topics": "healthcare,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-01T00:00:00.000Z",
  "fetched_at": "2026-08-02T05:10:30.790Z",
  "source_slug": "x-artificial-intelligence-review",
  "source_name": "Artificial Intelligence Review",
  "source_homepage": "https://link.springer.com/journal/10462",
  "ethics_ai_record_url": "https://ethics.ai/record/15590",
  "original_url": "https://link.springer.com/article/10.1007/s10462-026-11662-y",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}