VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography

Type: Preprint

Publication Date: 2022-01-01

Citations: 2

DOI: https://doi.org/10.48550/arxiv.2203.11205

Locations

  • arXiv (Cornell University) - View
  • medRxiv (Cold Spring Harbor Laboratory) - View
  • DataCite API - View

Similar Works

Action Title Year Authors
+ PDF Chat VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography 2022 Hieu T. Nguyen
Ha Q. Nguyen
Hieu H. Pham
Khanh Lam
Linh Le
Minh Quang Dao
Van Vu
+ PDF Chat VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography 2023 Hieu Nguyen
Ha Q. Nguyen
Hieu H. Pham
Khanh Lam
Linh Le
Minh Quang Dao
Van Vu
+ Performance of Machine Learning Classification in Mammography Images using BI-RADS 2023 Malitha Gunawardhana
Norbert Ć»oƂek
+ PDF Chat Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions 2024 Luyang Luo
Xi Wang
Yi Lin
Xiaoqi Ma
Andong Tan
Ronald Chan
Varut Vardhanabhuti
Chiu‐Wing Winnie Chu
Kwang‐Ting Cheng
Hao Chen
+ Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions 2023 Luyang Luo
Xi Wang
Yi Lin
Xiaoqi Ma
Andong Tan
Ronald Chan
Varut Vardhanabhuti
Chiu‐Wing Winnie Chu
Kwang‐Ting Cheng
Hao Chen
+ Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach 2019 William Lotter
Abdul Rahman Diab
Bryan Haslam
Jiye G. Kim
Giorgia Grisot
Eric Q. Wu
Kevin C.‐W. Wu
Jorge Onieva Onieva
Jerrold L. Boxerman
Meiyun Wang
+ Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach 2019 William Lotter
Abdul Rahman Diab
Bryan Haslam
Jiye G. Kim
Giorgia Grisot
Eric Hsiao‐Kuang Wu
Kevin Wu
Jorge Onieva Onieva
Jerrold L. Boxerman
Meiyun Wang
+ MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis 2018 Trent Kyono
Fiona J. Gilbert
Mihaela van der Schaar
+ PDF Chat Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review 2020 Yuliana Jiménez-Gaona
María José Rodríguez-Álvarez
Vasudevan Lakshminarayanan
+ Two-stage breast mass detection and segmentation system towards automated high-resolution full mammogram analysis. 2020 Yutong Yan
Pierre-Henri Conze
Gwénolé Quellec
Mathieu Lamard
BĂ©atrice Cochener
Gouenou Coatrieux
+ MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening 2023 Yijun Yang
Shujun Wang
Lihao Liu
Sarah Hickman
Fiona J. Gilbert
Carola‐Bibiane Schönlieb
Angelica I. Aviles‐Rivero
+ Meta-repository of screening mammography classifiers 2021 Benjamin Stadnick
Jan Witowski
Vishwaesh Rajiv
Jakub ChƂędowski
Farah E. Shamout
Kyunghyun Cho
Krzysztof J. Geras
+ PDF Chat Full Field Digital Mammography Dataset from a Population Screening Program 2024 Edward J. Kendall
Paraham Hajishafiezahramini
Matthew T. Hamilton
Gregory Doyle
Nancy Wadden
Oscar Meruvia-Pastor
+ OPTIMAM Mammography Image Database: A Large-Scale Resource of Mammography Images and Clinical Data 2020 Mark Halling‐Brown
Lucy M. Warren
Dominic Ward
Emma Lewis
Alistair Mackenzie
Matthew Wallis
Louise Wilkinson
Rosalind Given-Wilson
Rita McAvinchey
Kenneth C. Young
+ PDF Chat Deep Learning to Improve Breast Cancer Detection on Screening Mammography 2019 Li Shen
Laurie R. Margolies
Joseph H. Rothstein
Eugene Fluder
Russell B. McBride
Weiva Sieh
+ Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review 2020 Yuliana Jiménez-Gaona
María José Rodríguez-Álvarez
Vasudevan Lakshminarayanan
+ Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review 2020 Yuliana Jiménez-Gaona
María José Rodríguez-Álvarez
Vasudevan Lakshminarayanan
+ Reduction of Surgical Risk Through the Evaluation of Medical Imaging Diagnostics 2020 Marco A. V. M. Grinet
Nuno M. GarcĂ­a
Ana I. R. Gouveia
J. Moutinho
Abel Gomes
+ Reduction of Surgical Risk Through the Evaluation of Medical Imaging Diagnostics. 2020 Marco A. V. M. Grinet
Nuno M. GarcĂ­a
Ana Gouveia
J. Moutinho
Abel Gomes
+ Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment 2021 Omid Haji Maghsoudi
Aimilia Gastounioti
Christopher G. Scott
Lauren Pantalone
Fang-Fang Wu
Eric A. Cohen
Stacey J. Winham
Emily F. Conant
Celine M. Vachon
Despina Kontos

Works That Cite This (0)

Action Title Year Authors

Works Cited by This (0)

Action Title Year Authors