ResNet110 and Mask Recurrent Convolutional Neural Network Based Detection and Classification of Colorectal Cancer-Reference-Cited by-同舟云学术

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ResNet110 and Mask Recurrent Convolutional Neural Network Based Detection and Classification of Colorectal Cancer

Published:2024-03-15 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
language:
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Author:

Alzubaidi Laith H¹,K Priyanka²,S K Suhas³,Kumar B Kiran⁴,Malathy V⁵

Affiliation:

1. The Islamic university,Najaf,Iraq

2. Nitte Meenakshi Institute of Technology,Dept of ISE,Bengaluru,India

3. S.E.A College of Engineering and Technology,Department of Electronics and Communication Engineering,Bangalore,India

4. CVR College of Engineering,Department of Information Technology,Hyderabad,Telangana,India

5. SR University,Department of ECE,Warangal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10515441.pdf?arnumber=10515441

Reference12 articles.

1. Optimized Deep Learning Model for Colorectal Cancer Detection and Classification Model

2. ObjectDetect: A Real-Time Object Detection Framework for Advanced Driver Assistant Systems Using YOLOv5

3. Ensemble-based multi-tissue classification approach of colorectal cancer histology images using a novel hybrid deep learning framework

4. Automated System for Colon Cancer Detection and Segmentation Based on Deep Learning Techniques

5. CCANet: Classifcation of Colorectal Tumor Histopathological Images Using a CNN with Channel Attention Mechanisms

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