Fully automated classification of mammograms using deep residual neural networks-Reference-Cited by-同舟云学术

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Fully automated classification of mammograms using deep residual neural networks

Published:2017-04 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)
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Author:

Dhungel Neeraj,Carneiro Gustavo,Bradley Andrew P.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7944115/7950442/07950526.pdf?arnumber=7950526

Cited by 55 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. Deep Location Soft-Embedding-Based Network With Regional Scoring for Mammogram Classification;IEEE Transactions on Medical Imaging;2024-09

2. Deep Neural Network-Based Model for Breast Cancer Lesion Diagnosis in Mammography Images;Acta Informatica Pragensia;2024-08-04

3. A multi-task fusion model based on a residual–Multi-layer perceptron network for mammographic breast cancer screening;Computer Methods and Programs in Biomedicine;2024-04

4. Multi-view Image Fusion Using Ensemble Deep Learning Algorithm For MRI And CT Images;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-03-09

5. FSE-Net: feature selection and enhancement network for mammogram classification;Physics in Medicine & Biology;2023-09-15

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