CNN-based Deep Transfer Learning Approach for Detecting Breast Cancer in Mammogram Images-Reference-Cited by-同舟云学术

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CNN-based Deep Transfer Learning Approach for Detecting Breast Cancer in Mammogram Images

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 10th Conference on Systems, Process & Control (ICSPC)
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Author:

Zebari Dilovan Asaad¹,Haron Habibollah²,Sulaiman Dawlat Mustafa³,Yusoff Yusliza²,Mohd Othman Mohamad Nurfalihin²

Affiliation:

1. Nawroz University,College of Science,Department of Computer Science,Duhok,Kurdistan Region,Iraq,42001

2. Universiti Teknologi Malaysia,Faculty of Computing,Johor Bahru,Johor,Malaysia,81310

3. Duhok Polytechnic University,Technical College of Administration,Department of Information Technology Management

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10001753/10001737/10001781.pdf?arnumber=10001781

Reference18 articles.

1. Breast Cancer:Tumor Detection in Mammogram Images Using Modified AlexNet Deep Convolution Neural Network

2. Deep-wavelet neural networks for breast cancer early diagnosis using mammary termographies

3. Improved Threshold Based and Trainable Fully Automated Segmentation for Breast Cancer Boundary and Pectoral Muscle in Mammogram Images

4. Breast cancer detection in mammogram images using deep learning technique;selvathi;Middle-East Journal of Scientific Research,2017

5. Computer-Aided Breast Cancer Diagnosis from Thermal Images Using Transfer Learning

Cited by 4 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 deep learning fusion model for accurate classification of brain tumours in Magnetic Resonance images;CAAI Transactions on Intelligence Technology;2024-01-04

2. Optimal deep transfer learning driven computer‐aided breast cancer classification using ultrasound images;Expert Systems;2023-11-27

3. Pre-Trained Deep Convolutional Neural Network Architectures for Breast Cancer Diagnosis in Mammography: Current State-Of-The-Art;2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA);2023-09-20

4. A Comprehensive Comparison of Machine Learning Algorithms for Breast Cancer Prediction;2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS);2023-03-17

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