ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.01330
  4. Cited By
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer
v1v2 (latest)

CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer

2 December 2021
Moein Sorkhei
Yue Liu
Hossein Azizpour
E. Azavedo
Karin Dembrower
Dimitra Ntoula
Athanasios Zouzos
Fredrik Strand
Kevin Smith
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)Github (16★)

Papers citing "CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer"

6 / 6 papers shown
Knowledge-based anomaly detection for identifying network-induced shape artifacts
Knowledge-based anomaly detection for identifying network-induced shape artifacts
Rucha Deshpande
Tahsin Rahman
Miguel Lago
Adarsh Subbaswamy
Jana G. Delfino
Ghada Zamzmi
Elim Thompson
Aldo Badano
Seyed Kahaki
115
0
0
06 Nov 2025
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification
D. Petrini
Hae Yong Kim
222
0
0
25 Mar 2025
MIRAM: Masked Image Autoencoders Across Multiple Scales with Hybrid-Attention Mechanism for Breast Lesion Risk Prediction
MIRAM: Masked Image Autoencoders Across Multiple Scales with Hybrid-Attention Mechanism 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
230
0
0
10 Mar 2025
Generative AI for Medical Imaging: extending the MONAI Framework
Generative AI for Medical Imaging: extending the MONAI Framework
W. H. Pinaya
M. Graham
E. Kerfoot
Petru-Daniel Tudosiu
J. Dafflon
...
Andrew Feng
Marc Modat
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
SyDaMedIm
232
105
0
27 Jul 2023
PatchDropout: Economizing Vision Transformers Using Patch Dropout
PatchDropout: Economizing Vision Transformers Using Patch DropoutIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Yue Liu
Christos Matsoukas
Fredrik Strand
Hossein Azizpour
Kevin Smith
228
35
0
10 Aug 2022
Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained
  EfficientNet-Based Convolutional Network
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
154
54
0
01 Oct 2021
1