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"

50 / 93 papers shown

Title
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration Jiani Ni He Zhao Jintong Gao Dandan Guo H. Zha 32 0 0 14 Apr 2025
A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study Jungkyu Park Jan Witowski Yanqi Xu Hari M. Trivedi J. Gichoya ... Malte Westerhoff Linda Moy Laura Heacock Alana A. Lewin Krzysztof J. Geras 28 0 0 08 Apr 2025
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification D. Petrini Hae Yong Kim 46 0 0 25 Mar 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 39 0 0 10 Mar 2025
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets H. Q. Vo Samira Zare S. Ly Lin Wang Chika F. Ezeana Xiaohui Yu Kelvin K. Wong Stephen T. C. Wong H. Nguyen OOD 43 0 0 09 Mar 2025
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application Gonzalo Iñaki Quintana Laurence Vancamberg Vincent Jugnon Agnès Desolneux Mathilde Mougeot MedIm 46 1 0 28 Jan 2025
A Decade of Deep Learning: A Survey on The Magnificent Seven Dilshod Azizov Muhammad Arslan Manzoor Velibor Bojkovic Yingxu Wang Z. Wang ... Liang Li Siwei Liu Yu Zhong Wei Liu Shangsong Liang OOD AI4TS MedIm 116 0 0 13 Dec 2024
MamT $^4$ : Multi-view Attention Networks for Mammography Cancer Classification Alisher Ibragimov Sofya Senotrusova Arsenii Litvinov E. Ushakov E. Karpulevich Yury Markin 35 0 0 03 Nov 2024
Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study Sania Eskandari Ali Eslamian Nusrat Munia Amjad Alqarni Qiang Cheng MedIm 28 1 0 29 Aug 2024
Interpretable breast cancer classification using CNNs on mammographic images Ann-Kristin Balve Peter Hendrix 11 2 0 23 Aug 2024
A training regime to learn unified representations from complementary breast imaging modalities Umang Sharma Jungkyu Park Laura Heacock S. Chopra Krzysztof Geras 9 0 0 16 Aug 2024
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks Mikkel Jordahn Pablo Olmos 16 1 0 02 May 2024
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges Shreyasi Pathak Jorg Schlotterer Jeroen Veltman J. Geerdink M. V. Keulen Christin Seifert 26 3 0 29 Mar 2024
Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data Yiqiu Shen Jungkyu Park Frank Yeung Eliana Goldberg Laura Heacock Farah E. Shamout Krzysztof J. Geras 11 2 0 06 Nov 2023
Generalizing Medical Image Representations via Quaternion Wavelet Networks Luigi Sigillo Eleonora Grassucci A. Uncini Danilo Comminiello MedIm 25 5 0 16 Oct 2023
Attention-Map Augmentation for Hypercomplex Breast Cancer Classification Eleonora Lopez Filippo Betello Federico Carmignani Eleonora Grassucci Danilo Comminiello 19 12 0 11 Oct 2023
The effect of data augmentation and 3D-CNN depth on Alzheimer's Disease detection Rosanna Turrisi A. Verri A. Barla 14 3 0 13 Sep 2023
Detection of Mild Cognitive Impairment Using Facial Features in Video Conversations Muath Alsuhaibani H. H. Dodge Mohammad H. Mahoor CVBM 16 3 0 29 Aug 2023
Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods Vicente Sampaio F. Cordeiro 12 3 0 07 Aug 2023
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening Yijun Yang Shujun Wang Lihao Liu S. Hickman F. Gilbert Carola-Bibiane Schönlieb Angelica I. Aviles-Rivero 14 5 0 02 Aug 2023
MDF-Net for abnormality detection by fusing X-rays with clinical data Chih-Jou Hsieh Isabel Blanco Nobre Sandra Costa Sousa Chun Ouyang M. Brereton Jacinto C. Nascimento Joaquim A. Jorge Catarina Moreira 8 8 0 26 Feb 2023
Semi-Supervised Approach for Early Stuck Sign Detection in Drilling Operations A. Hernandez-Matamoros Kohei Sugawara T. Kaneko Ryota Wada M. Ozaki 9 0 0 22 Feb 2023
On the Within-Group Fairness of Screening Classifiers Nastaran Okati Stratis Tsirtsis Manuel Gomez Rodriguez 22 2 0 31 Jan 2023
BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations Yuanhong Chen Yuyuan Liu Chong Wang M. Elliott C. Kwok ... Yu Tian Fengbei Liu Helen Frazer Davis J. McCarthy Gustavo Carneiro 18 1 0 31 Jan 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease R. Singhal Mukund Sudarshan Anish Mahishi S. Kaushik L. Ginocchio A. Tong H. Chandarana D. Sodickson Rajesh Ranganath S. Chopra 20 5 0 27 Jan 2023
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge Ricards Marcinkevics Ece Ozkan Julia E. Vogt OOD LM&MA FedML 21 2 0 23 Dec 2022
Selection by Prediction with Conformal p-values Ying Jin Emmanuel J. Candès 11 33 0 04 Oct 2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation Yuanhong Chen Hu Wang Chong Wang Yu Tian Fengbei Liu M. Elliott Davis J. McCarthy Helen Frazer G. Carneiro 45 19 0 21 Sep 2022
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese Thao T. B. Nguyen T. M. Vo Thang V. Nguyen Hieu H. Pham H. Nguyen 10 4 0 11 Sep 2022
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices Dat Ngo Thao T. B. Nguyen Hieu T. Nguyen D. Nguyen H. Nguyen Hieu H. Pham OOD 28 2 0 05 Aug 2022
Leveraging Smartphone Sensors for Detecting Abnormal Gait for Smart Wearable Mobile Technologies Md Shahriar Tasjid A. Marouf 14 3 0 03 Aug 2022
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors Beepul Bharti P. Yi Jeremias Sulam 14 4 0 25 Jul 2022
Deep Learning Hyperparameter Optimization for Breast Mass Detection in Mammograms Adarsh Sehgal Muskan Sehgal Hung M. La G. Bebis 9 2 0 22 Jul 2022
Lesion detection in contrast enhanced spectral mammography Clément Jailin Pablo Milioni de Carvalho Zhijin Li R. Iordache S. Muller 8 2 0 20 Jul 2022
Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features Unaiza Sajid Rizwan Ahmed Khan S. M. Shah Sheeraz Arif OOD 11 32 0 26 Jun 2022
Three Applications of Conformal Prediction for Rating Breast Density in Mammography Charles Lu Ken Chang Praveer Singh Jayashree Kalpathy-Cramer OOD AI4CE 34 8 0 23 Jun 2022
Independent evaluation of state-of-the-art deep networks for mammography O. M. Velarde Lucas Parrra OOD 21 0 0 22 Jun 2022
Machine vision for vial positioning detection toward the safe automation of material synthesis Leslie Ching Ow Tiong H. Yoo Namho Kim Kwan-Young Lee S. Han Donghun Kim AAML 14 1 0 15 Jun 2022
Classification of COVID-19 Patients with their Severity Level from Chest CT Scans using Transfer Learning Mansi Gupta Aman Swaraj Karan Verma 17 1 0 27 May 2022
What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability John Kirchenbauer Jacob Oaks Eric Heim UQCV 36 4 0 23 May 2022
Multi-View Hypercomplex Learning for Breast Cancer Screening Eleonora Lopez Eleonora Grassucci Martina Valleriani Danilo Comminiello 28 8 0 12 Apr 2022
Towards Clinical Practice: Design and Implementation of Convolutional Neural Network-Based Assistive Diagnosis System for COVID-19 Case Detection from Chest X-Ray Images Daniel Kvak Marian Bendik Anna Chromcová 11 4 0 20 Mar 2022
Meta Ordinal Regression Forest for Medical Image Classification with Ordinal Labels Yiming Lei Haiping Zhu Junping Zhang Hongming Shan 22 21 0 15 Mar 2022
Machine learning based lens-free imaging technique for field-portable cytometry Rajkumar Vaghashiya Sanghoon Shin Varun Chauhan K. Kapadiya Smit Sanghavi S. Seo Mohendra Roy 9 13 0 02 Mar 2022
Calibrating Histopathology Image Classifiers using Label Smoothing Jerry W. Wei Lorenzo Torresani Jason W. Wei Saeed Hassanpour 15 1 0 28 Jan 2022
Multi-task fusion for improving mammography screening data classification M. Wimmer Gert Sluiter David Major Dimitrios Lenis Astrid Berg Theresa Neubauer Katja Bühler 11 8 0 01 Dec 2021
A Teacher-Student Markov Decision Process-based Framework for Online Correctional Learning Inês Lourenço Rebecka Winqvist C. Rojas B. Wahlberg OffRL 11 3 0 15 Nov 2021
Gradient Frequency Modulation for Visually Explaining Video Understanding Models Xinmiao Lin Wentao Bao Matthew Wright Yu Kong FAtt AAML 12 2 0 01 Nov 2021
Deep Curriculum Learning in Task Space for Multi-Class Based Mammography Diagnosis Jun-Jie Luo Dooman Arefan M. Zuley J. Sumkin Shandong Wu 20 2 0 21 Oct 2021
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis Hossein Aboutalebi Maya Pavlova Hayden Gunraj M. Shafiee A. Sabri Amer Alaref Alexander Wong 15 17 0 12 Oct 2021