[HTML][HTML] Application of deep learning in breast cancer imaging

L Balkenende, J Teuwen, RM Mann - Seminars in Nuclear Medicine, 2022 - Elsevier
This review gives an overview of the current state of deep learning research in breast cancer
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …

A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning

S Atasever, N Azginoglu, DS Terzi, R Terzi - Clinical imaging, 2023 - Elsevier
This survey aims to identify commonly used methods, datasets, future trends, knowledge
gaps, constraints, and limitations in the field to provide an overview of current solutions used …

Transfer learning for medical images analyses: A survey

X Yu, J Wang, QQ Hong, R Teku, SH Wang, YD Zhang - Neurocomputing, 2022 - Elsevier
The advent of deep learning has brought great change to the community of computer
science and also revitalized numerous fields where traditional machine learning methods …

TTCNN: A breast cancer detection and classification towards computer-aided diagnosis using digital mammography in early stages

S Maqsood, R Damaševičius, R Maskeliūnas - Applied Sciences, 2022 - mdpi.com
Breast cancer is a major research area in the medical image analysis field; it is a dangerous
disease and a major cause of death among women. Early and accurate diagnosis of breast …

Deep learning to improve breast cancer detection on screening mammography

L Shen, LR Margolies, JH Rothstein, E Fluder… - Scientific reports, 2019 - nature.com
The rapid development of deep learning, a family of machine learning techniques, has
spurred much interest in its application to medical imaging problems. Here, we develop a …

Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning

LT Duong, NH Le, TB Tran, VM Ngo… - Expert Systems with …, 2021 - Elsevier
Tuberculosis (TB) caused by Mycobacterium tuberculosis is a contagious disease which is
among the top deadly diseases in the world. Research in Medical Imaging has been done to …

Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms

MA Al-Antari, SM Han, TS Kim - Computer methods and programs in …, 2020 - Elsevier
Abstract Background and Objective Deep learning detection and classification from medical
imagery are key components for computer-aided diagnosis (CAD) systems to efficiently …

Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach

D Muduli, R Dash, B Majhi - Biomedical Signal Processing and Control, 2022 - Elsevier
This paper proposes a deep convolutional neural network (CNN) model for automated
breast cancer classification from a different class of images, namely, mammograms and …

A yolo-based model for breast cancer detection in mammograms

F Prinzi, M Insalaco, A Orlando, S Gaglio… - Cognitive Computation, 2024 - Springer
This work aims to implement an automated data-driven model for breast cancer detection in
mammograms to support physicians' decision process within a breast cancer screening or …

[HTML][HTML] Deep learning for mass detection in full field digital mammograms

R Agarwal, O Diaz, MH Yap, X Lladó, R Marti - Computers in biology and …, 2020 - Elsevier
In recent years, the use of Convolutional Neural Networks (CNNs) in medical imaging has
shown improved performance in terms of mass detection and classification compared to …