Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
https://link.springer.com/content/pdf/10.1007/s10278-022-00701-z.pdf
Reference50 articles.
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3. Liang M, Ren Z, Yang J, Feng W, Li B: Identification of colon cancer using multi-scale feature fusion convolutional neural network based on shearlet transform. IEEE Access 8: 208969-208977. https://doi.org/10.1109/ACCESS.2020.3038764, 2020.
4. Sarwinda D, Paradisa RH, Bustamam A, Anggia P: Deep Learning in Image Classification using Residual Network (ResNet) Variants for Detection of Colorectal Cancer. Procedia Computer Science 179: 423-431. https://doi.org/10.1016/j.procs.2021.01.025, 2021.
5. AbdElNabi MLR, Wajeeh Jasim M, El-Bakry HM, Hamed N. Taha M, Khalifa NEM: Breast and colon cancer classification from gene expression profiles using data mining techniques. Symmetry 12(3): 408. https://doi.org/10.3390/sym12030408, 2020.
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