Deep neural system for supporting tumor recognition of mammograms using modified GAN-Reference-Cited by-同舟云学术

Deep neural system for supporting tumor recognition of mammograms using modified GAN

Published:2021-02 Issue: Volume:164 Page:113968
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Swiderski B.,Gielata L.,Olszewski P.,Osowski S.,Kołodziej M.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference29 articles.

1. Alyafi, B., Diaz, O., & Marti, R. (2019). DCGANs for realistic breast mass augmentation in X-ray mammography. arXiv:1909.02062v1 [eess.IV].

2. Computer aided diagnosis of breast cancer in digital mammograms;Christoyiani;Computerized Medical Imaging and Graphics,2002

3. Breast cancer diagnosis in digitized mammograms using curvelet moments;Dhahbi;Computers in Biology and Medicine,2015

4. Adversarial feature learning;Donahue;Proc. international conference on learning representations,2017

5. New feature extraction method for mammogram computer aided diagnosis;Elfarra;International Journal of Signal Processing, Image Processing and Pattern Recognition,2012

Cited by 24 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. Smart GAN: a smart generative adversarial network for limited imbalanced dataset;The Journal of Supercomputing;2024-06-03

2. GAN-Augmented Breast Cancer Classification with Histogram-Based Gradient Boosting;2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2024-05-23

3. Denoising and segmentation in medical image analysis: A comprehensive review on machine learning and deep learning approaches;Multimedia Tools and Applications;2024-05-17

4. A multimodal breast cancer diagnosis method based on Knowledge-Augmented Deep Learning;Biomedical Signal Processing and Control;2024-04

5. Reliable Breast Cancer Diagnosis with Deep Learning: DCGAN‐Driven Mammogram Synthesis and Validity Assessment;Applied Computational Intelligence and Soft Computing;2024-01