Segmentation is better when shared: a review of public H&E histological images datasets
Resumo
The evaluation of histological images is a key step in cancer diagnosis, but it is a time-consuming and subjective process. To overcome these challenges, computer-aided diagnosis systems have emerged to offer a faster and more accurate analysis. Among the steps of these systems, image segmentation plays a crucial role by isolating regions of interest for further examination. In this context, this systematic review investigates the use of publicly available datasets in histological image segmentation analysis using Hematoxylin-Eosin (H&E) staining. The review addresses 15 guiding questions, covering various aspects, including the most common segmentation techniques, evaluation metrics, and existing limitations in the literature.
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Publicado
30/09/2025
Como Citar
ROISSMANN, Anna Clara Medina; TOSTA, Thaína A. Azevedo.
Segmentation is better when shared: a review of public H&E histological images datasets. In: WORKSHOP ON DIGITAL AND COMPUTATIONAL PATHOLOGY - CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 38. , 2025, Salvador/BA.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
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p. 353-359.
