Benchmarking Hierarchical Image Pyramid Transformer for the Classification of Colon Biopsies and Polyps Histopathology Images

Training neural networks with high-quality pixel-level annotation in histopathology whole-slide images (WSI) is an expensive process due to gigapixel resolution of WSIs. However, recent advances in self-supervised learning have shown that highly descriptive image representations can be learned witho...

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Bibliographic Details

Published in:	2024 IEEE International Symposium on Biomedical Imaging (ISBI) pp. 1 - 4
Main Authors:	Contreras, Nohemi S. Leon, Grisi, Clement, Aswolinskiy, Witali, Vatrano, Simona, Fraggetta, Filippo, Nagtegaal, Iris, D'Amato, Marina, Ciompi, Francesco
Format:	Conference Proceeding
Language:	English
Published:	IEEE 27-05-2024
Subjects:	Annotations Biological system modeling Biopsy Colon colon biopsies Computational pathology Data models Histopathology self-supervision Transformers vision transformers
Online Access:	Get full text
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