[HTML][HTML] Application of deep learning in breast cancer imaging
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 …
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …
CAD and AI for breast cancer—recent development and challenges
Computer-aided diagnosis (CAD) has been a popular area of research and development in
the past few decades. In CAD, machine learning methods and multidisciplinary knowledge …
the past few decades. In CAD, machine learning methods and multidisciplinary knowledge …
[HTML][HTML] Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning
J Yang, J Ju, L Guo, B Ji, S Shi, Z Yang, S Gao… - Computational and …, 2022 - Elsevier
HER2-positive breast cancer is a highly heterogeneous tumor, and about 30% of patients
still suffer from recurrence and metastasis after trastuzumab targeted therapy. Predicting …
still suffer from recurrence and metastasis after trastuzumab targeted therapy. Predicting …
Computer-aided diagnosis system for breast ultrasound images using deep learning
H Tanaka, SW Chiu, T Watanabe… - Physics in medicine …, 2019 - iopscience.iop.org
The purpose of this study was to develop a computer-aided diagnosis (CAD) system for the
classification of malignant and benign masses in the breast using ultrasonography based on …
classification of malignant and benign masses in the breast using ultrasonography based on …
Towards clinical application of artificial intelligence in ultrasound imaging
Artificial intelligence (AI) is being increasingly adopted in medical research and applications.
Medical AI devices have continuously been approved by the Food and Drug Administration …
Medical AI devices have continuously been approved by the Food and Drug Administration …
Semi-supervised segmentation of lesion from breast ultrasound images with attentional generative adversarial network
Background and objective Automatic segmentation of breast lesion from ultrasound images
is a crucial module for the computer aided diagnostic systems in clinical practice. Large …
is a crucial module for the computer aided diagnostic systems in clinical practice. Large …
Deep learning radiomics in breast cancer with different modalities: Overview and future
Recent improvements in deep learning radiomics (DLR) extracting high-level features form
medical imaging could promote the performance of computer aided diagnosis (CAD) for …
medical imaging could promote the performance of computer aided diagnosis (CAD) for …
The role of deep learning in advancing breast cancer detection using different imaging modalities: a systematic review
Simple Summary Breast cancer is the most common cancer, which resulted in the death of
700,000 people around the world in 2020. Various imaging modalities have been utilized to …
700,000 people around the world in 2020. Various imaging modalities have been utilized to …
Deep feature extraction and classification of breast ultrasound images
Controlled despeckling (structure/edges/feature preservation with smoothing the
homogeneous areas) is a desired pre-processing step for the design of computer-aided …
homogeneous areas) is a desired pre-processing step for the design of computer-aided …
Deep learning in breast radiology: current progress and future directions
This review provides an overview of current applications of deep learning methods within
breast radiology. The diagnostic capabilities of deep learning in breast radiology continue to …
breast radiology. The diagnostic capabilities of deep learning in breast radiology continue to …