Detecting and classifying lesions in mammograms with Deep Learning

26 July 2017

Papers citing "Detecting and classifying lesions in mammograms with Deep Learning"

29 / 29 papers shown

Title
Enhancing breast cancer detection on screening mammogram using self-supervised learning and a hybrid deep model of Swin Transformer and Convolutional Neural Network Han Chen Anne L. Martel 43 0 0 28 Apr 2025
MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction H. Q. Vo Pengyu Yuan Zheng Yin Kelvin K. Wong Chika F. Ezeana S. Ly Stephen T. C. Wong H. Nguyen 46 0 0 10 Mar 2025
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once Theodore Zhao Yu Gu Jianwei Yang Naoto Usuyama Ho Hin Lee ... B. Piening Carlo Bifulco Mu-Hsin Wei Hoifung Poon Sheng Wang MedIm 41 23 0 21 May 2024
Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms Jun Bai Annie Jin Madison Adams Clifford Yang S. Nabavi 18 0 0 28 Dec 2023
An Interactive Interpretability System for Breast Cancer Screening with Deep Learning Yuzhe Lu Adam Perer 34 3 0 30 Sep 2022
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging Riccardo Fogliato Shreya Chappidi M. Lungren Michael Fitzke Mark Parkinson Diane U Wilson Paul Fisher Eric Horvitz K. Inkpen Besmira Nushi 24 70 0 19 May 2022
A Deep Learning Approach for the Detection of COVID-19 from Chest X-Ray Images using Convolutional Neural Networks Aditya Saxena Shamsheer Pal Singh 31 14 0 24 Jan 2022
Artificial Intelligence For Breast Cancer Detection: Trends & Directions S. M. Shah Rizwan Ahmed Khan Sheeraz Arif Unaiza Sajid OOD 19 68 0 03 Oct 2021
A survey on deep learning approaches for breast cancer diagnosis Timothy C. H. Kwong S. Mazaheri MedIm 30 4 0 18 Sep 2021
Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks Hung Q. Vo Pengyu Yuan T. He Stephen T. C. Wong H. Nguyen 18 1 0 21 Aug 2021
Deep Learning for Breast Cancer Classification: Enhanced Tangent Function Ashutosh Thapa Abeer Alsadoon P. Prasad Simi Bajaj O. H. Alsadoon Tarik Ahmed Rashid R. Ali Oday D. Jerew MedIm 11 5 0 01 Jul 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 23 574 0 27 May 2021
Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection Yuhang Liu Fandong Zhang Chaoqi Chen Siwen Wang Yizhou Wang Yizhou Yu MedIm 21 38 0 21 May 2021
C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification H. Barzekar Zeyun Yu 22 40 0 30 Oct 2020
Radiologist-level Performance by Using Deep Learning for Segmentation of Breast Cancers on MRI Scans Lukas Hirsch Yu Huang Shaojun Luo Carolina Rossi Saccarelli Roberto Lo Gullo ... Pierre Elnajjar Elizabeth A. Morris H. Makse Lucas C. Parra Elizabeth J. Sutton MedIm 17 32 0 21 Sep 2020
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification G. Liang Yu Zhang Xiaoqin Wang Nathan Jacobs UQCV 28 60 0 09 Sep 2020
Breast mass detection in digital mammography based on anchor-free architecture Haichao Cao MedIm 11 37 0 02 Sep 2020
Artificial Neural Network Based Breast Cancer Screening: A Comprehensive Review Subrato Bharati Prajoy Podder Hossain Mondal 11 68 0 29 May 2020
Joint 2D-3D Breast Cancer Classification G. Liang Xiaoqin Wang Yu Zhang Xin Xing Hunter Blanton Tawfiq Salem Nathan Jacobs 31 39 0 27 Feb 2020
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization Yiqiu Shen Nan Wu Jason Phang Jungkyu Park Kangning Liu ... Laura Heacock S. G. Kim Linda Moy Kyunghyun Cho Krzysztof J. Geras 26 168 0 13 Feb 2020
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach William Lotter A. R. Diab B. Haslam Jiye G. Kim Giorgia Grisot ... J. Boxerman Meiyun Wang Mack Bandler G. Vijayaraghavan A. G. Sorensen 19 140 0 23 Dec 2019
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images Aleksandar Vakanski Min Xian Phoebe E. Freer 27 142 0 20 Oct 2019
Globally-Aware Multiple Instance Classifier for Breast Cancer Screening Yiqiu Shen Nan Wu Jason Phang Jungkyu Park S. G. Kim Linda Moy Kyunghyun Cho Krzysztof J. Geras 31 38 0 07 Jun 2019
Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net R. Bakalo Rami Ben-Ari Jacob Goldberger 46 15 0 28 Apr 2019
Adversarial Augmentation for Enhancing Classification of Mammography Images Lukás Jendele Ondrej Skopek Anton S. Becker E. Konukoglu MedIm GAN 20 5 0 20 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 29 200 0 15 Feb 2019
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis Nesreen Ahmed Theodore L. Willke M. Schaar 22 32 0 30 Oct 2018
Conditional Infilling GANs for Data Augmentation in Mammogram Classification Eric Wu K. Wu David D. Cox William Lotter MedIm 22 135 0 21 Jul 2018
Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography Li Shen L. Margolies J. Rothstein Eugene Fluder R. McBride W. Sieh MedIm 36 757 0 30 Aug 2017