A High-Performance Deep Neural Network Model for BI-RADS Classification of Screening Mammography
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A High-Performance Deep Neural Network Model for BI-RADS Classification of Screening Mammography
Authors
Keywords
-
Journal
SENSORS
Volume 22, Issue 3, Pages 1160
Publisher
MDPI AG
Online
2022-02-07
DOI
10.3390/s22031160
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
- (2021) Hyuna Sung et al. CA-A CANCER JOURNAL FOR CLINICIANS
- A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening
- (2021) Huanhuan Liu et al. EUROPEAN RADIOLOGY
- Convolutional neural networks for breast cancer detection in mammography: A survey
- (2021) Leila Abdelrahman et al. COMPUTERS IN BIOLOGY AND MEDICINE
- MommiNet-v2: Mammographic multi-view mass identification networks
- (2021) Zhicheng Yang et al. MEDICAL IMAGE ANALYSIS
- Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women
- (2020) Michiro Sasaki et al. Breast Cancer
- A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms
- (2020) Said Boumaraf et al. Biomed Research International
- Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
- (2020) Essam H. Houssein et al. EXPERT SYSTEMS WITH APPLICATIONS
- Deep Learning to Improve Breast Cancer Detection on Screening Mammography
- (2019) Li Shen et al. Scientific Reports
- Classification of Mammogram Images Using Multiscale all Convolutional Neural Network (MA-CNN)
- (2019) S. Akila Agnes et al. JOURNAL OF MEDICAL SYSTEMS
- Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
- (2019) Nan Wu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Squeeze-and-Excitation Networks
- (2019) Jie Hu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Detection and classification of mammary lesions using artificial neural networks and morphological wavelets
- (2018) Thais Nayara da Cruz et al. IEEE Latin America Transactions
- Detecting and classifying lesions in mammograms with Deep Learning
- (2018) Dezső Ribli et al. Scientific Reports
- Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning
- (2017) Gustavo Carneiro et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A Pictorial Review of Changes in the BI-RADS Fifth Edition
- (2016) Ajay Aroor Rao et al. RADIOGRAPHICS
- Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning
- (2016) Jinhua Wang et al. Scientific Reports
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now