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Enhanced gastric cancer classification and quantification interpretable framework using digital histopathology images

Abstract Recent developments have highlighted the critical role that computer-aided diagnosis (CAD) systems play in analyzing whole-slide digital histopathology images for detecting gastric cancer (GC). We present a novel framework for gastric histology classification and segmentation (GHCS) that of...

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Bibliografische Detailangaben
Hauptverfasser: Muhammad Zubair, Muhammad Owais, Tahir Mahmood, Saeed Iqbal, Syed Muhammad Usman, Irfan Hussain
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2024-09-01
Schriftenreihe:Scientific Reports
Online-Zugang:https://doi.org/10.1038/s41598-024-73823-9
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