Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis
Author:
Affiliation:
1. Centre of Excellence for DAIM, University of Hull,England,United Kingdom
2. Landmark University,Department of Computer Science,Omu-Aran,Nigeria
3. Durban University of Technology,Department of Information Technology,Durban,South Africa
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10645221/10645222/10645233.pdf?arnumber=10645233
Reference23 articles.
1. Colorectal cancer biomarkers and their impact on the clinical practice
2. Epidemiology of colorectal cancer: incidence, mortality, survival, and risk factors;Rawla;World Journal of Gastroenterology,2019
3. Enhancing histopathological colorectal cancer image classification by using convolutional neural network;Shawesh
4. Automatic segmentation of colorectal cancer in 3D MRI by combining deep learning and 3D level-set algorithm-a preliminary study
5. Emerging agents that target signaling pathways to eradicate colorectal cancer stem cells
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