标题
Classification of breast mass in two‐view mammograms via deep learning
作者
关键词
-
出版物
IET Image Processing
Volume 15, Issue 2, Pages 454-467
出版商
Institution of Engineering and Technology (IET)
发表日期
2020-12-11
DOI
10.1049/ipr2.12035
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Cancer statistics, 2020
- (2020) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Inconsistent Performance of Deep Learning Models on Mammogram Classification
- (2020) Xiaoqin Wang et al. Journal of the American College of Radiology
- Deep feature–based automatic classification of mammograms
- (2020) Ridhi Arora et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Breast cancer detection using deep convolutional neural networks and support vector machines
- (2019) Dina A. Ragab et al. PeerJ
- Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide
- (2019) Shelly Soffer et al. RADIOLOGY
- Benign and malignant classification of mammogram images based on deep learning
- (2019) Hua Li et al. Biomedical Signal Processing and Control
- A hybrid Convolutional and Recurrent Neural Network for Hippocampus Analysis in Alzheimer's Disease
- (2019) Fan Li et al. JOURNAL OF NEUROSCIENCE METHODS
- Multi-View Image Denoising Using Convolutional Neural Network
- (2019) Shiwei Zhou et al. SENSORS
- AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms
- (2019) Hui Sun et al. PHYSICS IN MEDICINE AND BIOLOGY
- Classification of Mammogram Images Using Multiscale all Convolutional Neural Network (MA-CNN)
- (2019) S. Akila Agnes et al. JOURNAL OF MEDICAL SYSTEMS
- Deep Convolutional Neural Networks for breast cancer screening
- (2018) Hiba Chougrad et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework
- (2018) Zilong Zhong et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Classification of whole mammogram and tomosynthesis images using deep convolutional neural networks
- (2018) Xiaofei Zhang et al. IEEE TRANSACTIONS ON NANOBIOSCIENCE
- A survey on deep learning for big data
- (2018) Qingchen Zhang et al. Information Fusion
- SD-CNN: a Shallow-Deep CNN for Improved Breast Cancer Diagnosis
- (2018) Fei Gao et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Retinal Vessel Segmentation Using Densely Connected Convolution Neural Network with Colorful Fundus Images
- (2018) Ze-Fan Liu et al. Journal of Medical Imaging and Health Informatics
- Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening
- (2018) Sarah S. Aboutalib et al. CLINICAL CANCER RESEARCH
- Application of deep transfer learning for automated brain abnormality classification using MR images
- (2018) Muhammed Talo et al. Cognitive Systems Research
- Convolutional neural network improvement for breast cancer classification
- (2018) Fung Fung Ting et al. EXPERT SYSTEMS WITH APPLICATIONS
- Is mass classification in mammograms a solved problem? - A critical review over the last 20 years
- (2018) Ricardo Wandré Dias Pedro et al. EXPERT SYSTEMS WITH APPLICATIONS
- Deep Recurrent Neural Networks for Hyperspectral Image Classification
- (2017) Lichao Mou et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning
- (2017) Gustavo Carneiro et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Large scale deep learning for computer aided detection of mammographic lesions
- (2017) Thijs Kooi et al. MEDICAL IMAGE ANALYSIS
- Computer-aided diagnosis of mammographic masses based on a supervised content-based image retrieval approach
- (2017) Lazaros Tsochatzidis et al. PATTERN RECOGNITION
- Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis
- (2017) Stergios Christodoulidis et al. IEEE Journal of Biomedical and Health Informatics
- Facial Emotion Recognition Based on Biorthogonal Wavelet Entropy, Fuzzy Support Vector Machine, and Stratified Cross Validation
- (2016) Yu-Dong Zhang et al. IEEE Access
- Improved mammographic CAD performance using multi-view information: a Bayesian network framework
- (2009) Marina Velikova et al. PHYSICS IN MEDICINE AND BIOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started