An Effective Approach for Detecting Colon Cancer Using Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

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An Effective Approach for Detecting Colon Cancer Using Deep Convolutional Neural Network

Published:2024-04-27 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
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Author:

Smida Jamel¹,Azizi Mohamed Karim²,Bose Anandh Sam Chandra³,Smida Amor⁴

Affiliation:

1. College of Applied Science, AlMaarefa University, Kingdom of Saudi Arabia, University Tunis El Manar,Microwave Electronics Research Laboratory, Faculty of Sciences of Tunis,Tunis,Tunisia

2. University Tunis El Manar,Microwave Electronics Research Laboratory, Faculty of Sciences of Tunis,Tunis,Tunisia

3. College of Applied Sciences, AlMaarefa University,Kingdom of Saudi Arabia

4. College of Applied Medical Sciences,Department of Medical Equipment Technology,Al-Majma'ah,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10596138/10596139/10596175.pdf?arnumber=10596175

Reference15 articles.

1. Malignancy Detection in Lung and Colon Histopathology Images Using Transfer Learning With Class Selective Image Processing

2. Screening of Pathogenic Genes for Colorectal Cancer and Deep Learning in the Diagnosis of Colorectal Cancer

3. Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images

4. A Fast Accurate Deep Learning Framework for Prediction of All Cancer Types

5. Identification of Colon Cancer Using Multi-Scale Feature Fusion Convolutional Neural Network Based on Shearlet Transform

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