PolypVision is presented, a three-stage hierarchical deep learning framework that sequentially performs binary classification of polyps as adenomatous or hyperplastic, with simultaneous Paris and JNet classification, using EfficientNetV2-M with Focal Loss.
Hamidreza Bolhasani, H. Rastad, A. Akbari et al.· 0 citations
Hereditary polyposis syndromes can be precursor lesions to colorectal cancer and are associated with a broad spectrum of extracolonic tumors. Early identification and accurate classification of these syndromes are essential for timely diagnosis, individualized patient management, and targeted surveillance strategies fo...
Zahra Ghaffari, Massih Bahar, M. Forootan et al.· 0 citations
This paper introduces CRC-HGD, a histopathological microscopy image dataset of 1,914 images obtained from 214 colorectal adenocarcinoma patients, enabling comprehensive computational analysis of colorectal cancer grading.
Elham Amjadi, A. Bahreini, Sayed Mohammad Hasan Emami et al.· arXiv.org· 0 citations
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