Papers breast density classification

“breast density classification” 태그가 달린 논문 7편 · 필터 해제

Comparison of ConvNeXt and Vision-Language Models for Breast Density Assessment in Screening Mammography

2025-06-16 · Yusdivia Molina-Román, David Gómez-Ortiz, Ernestina Menasalvas-Ruiz, José Gerardo Tamez-Peña 외

Mammographic breast density classification is essential for cancer risk assessment but remains challenging due to subjective interpretation and inter-observer variability. This study compares multimodal and CNN-based met…

breast density classification Classification zero-shot-classification Zero-Shot Learning

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge

2024-05-22 · Kendall Schmidt, Benjamin Bearce, Ken Chang, Laura Coombs 외

The correct interpretation of breast density is important in the assessment of breast cancer risk. AI has been shown capable of accurately predicting breast density, however, due to the differences in imaging characteris…

breast density classification Federated Learning

Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification

2024-01-08 · Adarsh Bhandary Panambur, Hui Yu, Sheethal Bhat, Prathmesh Madhu 외

The assessment of breast density is crucial in the context of breast cancer screening, especially in populations with a higher percentage of dense breast tissues. This study introduces a novel data augmentation technique…

breast density classification Data Augmentation Transfer Learning

Domain Generalization for Mammographic Image Analysis with Contrastive Learning

2023-04-20 · Zheren Li, Zhiming Cui, Lichi Zhang, Sheng Wang 외

The deep learning technique has been shown to be effectively addressed several image analysis tasks in the computer-aided diagnosis scheme for mammography. The training of an efficacious deep learning model requires larg…

breast density classification Contrastive Learning Deep Learning Diversity+3

A multi-reconstruction study of breast density estimation using Deep Learning

2022-02-16 · Vikash Gupta, Mutlu Demirer, Robert W. Maxwell, Richard D. White 외

Breast density estimation is one of the key tasks in recognizing individuals predisposed to breast cancer. It is often challenging because of low contrast and fluctuations in mammograms' fatty tissue background. Most of …

breast density classification Density Estimation

Federated Learning for Breast Density Classification: A Real-World Implementation

2020-09-03 · Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark 외

Building robust deep learning-based models requires large quantities of diverse training data. In this study, we investigate the use of federated learning (FL) to build medical imaging classification models in a real-wor…

breast density classification Classification Federated Learning General Classification

Breast density classification with deep convolutional neural networks

2017-11-10 · Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su 외

Breast density classification is an essential part of breast cancer screening. Although a lot of prior work considered this problem as a task for learning algorithms, to our knowledge, all of them used small and not clin…

breast density classification Classification General Classification