Classification of Breast Cancer Cell Images using Multiple Convolution Neural Network Architectures-Reference-Cited by-同舟云学术

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Classification of Breast Cancer Cell Images using Multiple Convolution Neural Network Architectures

Published:2021 Issue:9 Volume:12 Page:
ISSN:2156-5570
Container-title:International Journal of Advanced Computer Science and Applications
language:en
Short-container-title:IJACSA

Author:

Tasnim Zarrin,Shamrat F. M. Javed Mehedi,Islam Md Saidul,Rahman Md.Tareq,Aronya Biraj Saha,Muna Jannatun Naeem,Billah Md. Masum

Publisher

The Science and Information Organization

Subject

General Computer Science

Link

http://thesai.org/Downloads/Volume12No9/Paper_34-Classification_of_Breast_Cancer_Cell_Images.pdf

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images;Frontiers in Oncology;2024-02-22

2. Invasive Ductal Carcinoma Prediction in Mammography and Histopathology Images Using CNN;2023 World Conference on Communication & Computing (WCONF);2023-07-14

3. A study of deep learning techniques for predicting breast cancer types;Soft Computing;2023-05-02

4. A Review on Deep Learning Approaches for Histopathology Breast Cancer Classification;Lecture Notes in Networks and Systems;2023

5. Comparative Study On Breast Cancer Classification Using Multiple Convolution Neural Network Architectures;2022 3rd International Conference on Smart Electronics and Communication (ICOSEC);2022-10-20

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