Deep learning in breast cancer imaging: A decade of progress and future directions
Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
Application and prospects of AI-based radiomics in ultrasound diagnosis
Artificial intelligence (AI)-based radiomics has attracted considerable research attention in
the field of medical imaging, including ultrasound diagnosis. Ultrasound imaging has unique …
the field of medical imaging, including ultrasound diagnosis. Ultrasound imaging has unique …
Extracting keyframes of breast ultrasound video using deep reinforcement learning
Ultrasound (US) plays a vital role in breast cancer screening, especially for women with
dense breasts. Common practice requires a sonographer to recognize key diagnostic …
dense breasts. Common practice requires a sonographer to recognize key diagnostic …
TDF-Net: Trusted Dynamic Feature Fusion Network for breast cancer diagnosis using incomplete multimodal ultrasound
Ultrasound is a critical imaging technique for diagnosing breast cancer. However, the
multimodal breast ultrasound diagnostic process is time-consuming and labor-intensive …
multimodal breast ultrasound diagnostic process is time-consuming and labor-intensive …
Deep learning‐based multimodal fusion network for segmentation and classification of breast cancers using B‐mode and elastography ultrasound images
Ultrasonography is one of the key medical imaging modalities for evaluating breast lesions.
For differentiating benign from malignant lesions, computer‐aided diagnosis (CAD) systems …
For differentiating benign from malignant lesions, computer‐aided diagnosis (CAD) systems …
Systematic comparison of deep-learning based fusion strategies for multi-modal ultrasound in diagnosis of liver cancer
W Li, MX Lin, XX Lin, HT Hu, YC Wang, SM Ruan… - Neurocomputing, 2024 - Elsevier
For the diagnosis of liver cancer, conventional brightness mode (B-mode) can only provide
morphological information. Multi-modal ultrasound, including shear-wave elastography …
morphological information. Multi-modal ultrasound, including shear-wave elastography …
AI-powered interpretable imaging phenotypes noninvasively characterize tumor microenvironment associated with diverse molecular signatures and survival in breast …
Background and objectives Tumor microenvironment (TME) is a determining factor in
decision-making and personalized treatment for breast cancer, which is highly intra-tumor …
decision-making and personalized treatment for breast cancer, which is highly intra-tumor …
MSMFN: an ultrasound based multi-step modality fusion network for identifying the histologic subtypes of metastatic cervical lymphadenopathy
Identifying squamous cell carcinoma and adenocarcinoma subtypes of metastatic cervical
lymphadenopathy (CLA) is critical for localizing the primary lesion and initiating timely …
lymphadenopathy (CLA) is critical for localizing the primary lesion and initiating timely …
DLGNet: A dual-branch lesion-aware network with the supervised Gaussian Mixture model for colon lesions classification in colonoscopy images
KN Wang, S Zhuang, QY Ran, P Zhou, J Hua… - Medical Image …, 2023 - Elsevier
Colorectal cancer is one of the malignant tumors with the highest mortality due to the lack of
obvious early symptoms. It is usually in the advanced stage when it is discovered. Thus the …
obvious early symptoms. It is usually in the advanced stage when it is discovered. Thus the …
Personalized diagnostic tool for thyroid cancer classification using multi-view ultrasound
Over the past decades, the incidence of thyroid cancer has been increasing globally.
Accurate and early diagnosis allows timely treatment and helps to avoid over-diagnosis …
Accurate and early diagnosis allows timely treatment and helps to avoid over-diagnosis …