Boosting Breast Cancer Classification from Microscopic Images Using Attention Mechanism-Reference-Cited by-同舟云学术

Boosting Breast Cancer Classification from Microscopic Images Using Attention Mechanism

Published:2022-03-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Decision Aid Sciences and Applications (DASA)
language:
Short-container-title:

Author:

Ukwuoma Chiagoziem C.¹,Urama Gilbert C.²,Qin Zhiguang¹,Bin Heyat Md Belal³,Mohammed Khan Haider²,Akhtar Faijan²,Masadeh Mahmoud S.⁴,Ibegbulam Chukwuemeka S.⁵,Delali Fiasam Linda¹,AlShorman Omar⁶

Affiliation:

1. University of Electronic Science and Technology of China,School of Information and Software Engineering,Chengdu,Sichuan,China

2. University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu,Sichuan,China

3. Sichuan University,West China Hospital,Department of Orthopedics Surgery,Chengdu,Sichuan,China

4. Yarmouk University,Hijjawi Faculty for Engineering,Computer Engineering Department,Irbid,Jordan

5. Federal University of Technology,Department of Polymer and Textile Engineering,Owerri,Imo State,Nigeria

6. Najran University,Faculty of Engineering and AlShrouk Traiding Company,Najran,KSA

Funder

National Natural Science Foundation of China

Mae Fah Luang University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9764877/9764959/09765013.pdf?arnumber=9765013

Reference57 articles.

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2. VGG16 - Convolutional Network for Classification and Detection;ul hassan;Neurohive,2018

3. Mass Classification of Breast Mammogram Based on Attention Mechanism and Transfer Learning

4. A Review on Recent Progress in Thermal Imaging and Deep Learning Approaches for Breast Cancer Detection

5. Sleep Bruxism Detection Using Decision Tree Method by the Combination of C4-P4 and C4-A1 Channels of Scalp EEG

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