DeepCPD: deep learning with vision transformer for colorectal polyp detection

Author:

T.P Raseena,Kumar Jitendra,Balasundaram S. R.

Funder

University Grants Commission - South Eastern Regional Office

Publisher

Springer Science and Business Media LLC

Reference53 articles.

1. Cancer IA Cancer Today. https://gco.iarc.fr/. Accessed 15 Nov 2022

2. international W Colorectal cancer statistics. https://www.wcrf.org/cancer-trends/colorectal-cancer-statistics/. Accessed 15 Nov 2022

3. Chen H, Li C, Li X, Rahaman MM, Hu W, Li Y, Liu W, Sun C, Sun H (2022) Huang X et al Il-mcam: an interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. Computers in Biology and Medicine 143:105265

4. Society AC American Cancer Society Guideline for Colorectal Cancer Screening. https://www.cancer.org/cancer/colon-rectal-cancer/detection-diagnosis-staging/acs-recommendations.html. Accessed 15 Nov 2022

5. Tan J, Gao Y, Liang Z, Cao W, Pomeroy MJ, Huo Y, Li L, Barish MA, Abbasi AF, Pickhardt PJ (2019) 3D-GLCM CNN: a 3-dimensional gray-level co-occurrence matrix-based cnn model for polyp classification via ct colonography. IEEE Transactions on Medical Imaging 39(6):2013–2024

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