Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography

30 August 2017

Papers citing "Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography"

43 / 93 papers shown

Title
Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network D. Petrini C. Shimizu R. A. Roela G. Valente M. A. K. Folgueira Hae Yong Kim MedIm 22 36 0 01 Oct 2021
An End-to-end Entangled Segmentation and Classification Convolutional Neural Network for Periodontitis Stage Grading from Periapical Radiographic Images Tanjida Kabir Chun-Teh Lee J. Nelson Sally Sheng Hsiu-Wan Meng Luyao Chen Muhammad Walji Xioaqian Jiang Shayan Shams 25 12 0 27 Sep 2021
Melatect: A Machine Learning Model Approach For Identifying Malignant Melanoma in Skin Growths Vidushi Meel Asritha Bodepudi MedIm 11 3 0 07 Sep 2021
Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imaging R. P. Mathews Mahesh Raveendranatha Panicker A. Hareendranathan Yale Tung Chen Jacob L. Jaremko Brian M. Buchanan K. Narayan C. Kesavadas G. Mathews 14 5 0 03 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
Meta-repository of screening mammography classifiers Benjamin Stadnick Jan Witowski Vishwaesh Rajiv Jakub Chledowski Farah E. Shamout Kyunghyun Cho Krzysztof J. Geras 20 11 0 10 Aug 2021
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica Saul Calderon-Ramirez Diego Murillo-Hernandez Kevin Rojas-Salazar David Elizondo Shengxiang-Yang Miguel A. Molina-Cabello 28 14 0 24 Jul 2021
Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI Alvaro Fernandez-Quilez T. Eftestøl M. G. Olsen S. R. Kjosavik K. Oppedal MedIm 15 4 0 22 Jul 2021
Memory-aware curriculum federated learning for breast cancer classification Amelia Jiménez-Sánchez Mickael Tardy M. A. G. Ballester Diana Mateus Gemma Piella OOD 33 86 0 06 Jul 2021
An XAI Approach to Deep Learning Models in the Detection of DCIS Michele La Ferla Matthew Montebello Dylan Seychell 19 3 0 27 Jun 2021
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 100 33 0 03 Jun 2021
Do Feature Attribution Methods Correctly Attribute Features? Yilun Zhou Serena Booth Marco Tulio Ribeiro J. Shah FAtt XAI 33 132 0 27 Apr 2021
Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer Aid Mengfan Li 17 17 0 23 Apr 2021
Low-Regret Active learning Cenk Baykal Lucas Liebenwein Dan Feldman Daniela Rus UQCV 38 3 0 06 Apr 2021
Invertible Residual Network with Regularization for Effective Medical Image Segmentation Kashu Yamazaki V. Rathour T. Hoang Ngan Le MedIm 44 6 0 16 Mar 2021
Detection and severity classification of COVID-19 in CT images using deep learning Yazan Qiblawey Anas Tahir M. Chowdhury Amith Khandakar S. Kiranyaz Tawsifur Rahman Nabil Ibtehaz S. Mahmud Somaya Al-Madeed F. Musharavati 22 109 0 15 Feb 2021
Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint Ella Y. Wang Anirudh Som Ankita Shukla Hongjun Choi Pavan Turaga OOD 46 3 0 02 Feb 2021
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations Tao Wei Angelica I Aviles-Rivero Shuo Wang Yuan Huang F. Gilbert Carola-Bibiane Schönlieb Chia-Ju Chen MedIm 18 15 0 20 Jan 2021
Task-driven Self-supervised Bi-channel Networks for Diagnosis of Breast Cancers with Mammography Ronglin Gong Jun Wang Jun Shi 28 0 0 15 Jan 2021
Machine Learning Towards Intelligent Systems: Applications, Challenges, and Opportunities MohammadNoor Injadat Abdallah Moubayed Ali Bou Nassif Abdallah Shami 57 99 0 11 Jan 2021
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays Yirui Wang K. Zheng Chi-Tung Chang Xiaoyun Zhou Zhilin Zheng Lingyun Huang Jing Xiao Le Lu Chien-Hung Liao S. Miao 24 19 0 30 Dec 2020
Data Appraisal Without Data Sharing Mimee Xu L. V. D. van der Maaten Awni Y. Hannun TDI 39 6 0 11 Dec 2020
Deep Convolutional Neural Networks: A survey of the foundations, selected improvements, and some current applications Lars Lien Ankile Morgan Feet Heggland Kjartan Krange AAML 22 55 0 25 Nov 2020
Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network Jun Wang Qianying Liu Haotian Xie Zhaogang Yang Hefeng Zhou MedIm 14 77 0 10 Oct 2020
Explainable Disease Classification via weakly-supervised segmentation A. Joshi Gaurav Mishra J. Sivaswamy 25 4 0 24 Aug 2020
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography Heyi Li Dongdong Chen W. Nailon Mike E. Davies Dave Laurenson 14 51 0 07 Aug 2020
AMITE: A Novel Polynomial Expansion for Analyzing Neural Network Nonlinearities Mauro J. Sanchirico Xun Jiao Chandrasekhar Nataraj 33 3 0 13 Jul 2020
Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models Yue Liu Hossein Azizpour Fredrik Strand Kevin Smith 17 10 0 11 Jul 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels Hieu H. Pham T. Le Dat Ngo Dat Q. Tran H. Nguyen 31 163 0 25 May 2020
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image T. Javaheri Morteza Homayounfar Zohreh Amoozgar R. Reiazi F. Homayounieh ... Guanglan Zhang L. Chitkushev B. Haibe-Kains R. Malekzadeh Reza Rawassizadeh 30 51 0 06 May 2020
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms Chandra K. Sarath A. Chakravarty N. Ghosh Tandra Sarkar Ramanathan Sethuraman Debdoot Sheet MedIm 11 11 0 24 Apr 2020
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-Supervised Framework for Medical Image Classification Marianne de Vriendt P. Sellars Angelica I Aviles-Rivero GNN 14 0 0 13 Mar 2020
Joint 2D-3D Breast Cancer Classification G. Liang Xiaoqin Wang Yu Zhang Xin Xing Hunter Blanton Tawfiq Salem Nathan Jacobs 23 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 21 168 0 13 Feb 2020
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis Hao Du Jiashi Feng Mengling Feng 27 13 0 16 Dec 2019
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels Hieu H. Pham T. Le Dat Q. Tran Dat Ngo H. Nguyen 22 32 0 15 Nov 2019
Deep Evidential Regression Alexander Amini Wilko Schwarting A. Soleimany Daniela Rus EDL PER BDL UD UQCV 30 417 0 07 Oct 2019
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening Nan Wu Jason Phang Jungkyu Park Yiqiu Shen Zhe Huang ... S. G. Kim Laura Heacock Linda Moy Kyunghyun Cho Krzysztof J. Geras MedIm 12 492 0 20 Mar 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
Conditional Infilling GANs for Data Augmentation in Mammogram Classification Eric Wu K. Wu David D. Cox William Lotter MedIm 22 134 0 21 Jul 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 59 1,157 0 27 Jun 2018
DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation Jimmy Wu Bolei Zhou D. Peck S. Hsieh V. Dialani Lester W. Mackey Genevieve Patterson FAtt MedIm 20 24 0 31 May 2018
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks Mattias Teye Hossein Azizpour Kevin Smith BDL UQCV 28 239 0 18 Feb 2018