A5115666597- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Digital Radiography and Breast Imaging
- Blockchain Technology Applications and Security
- Big Data and Business Intelligence
- Big Data Technologies and Applications
Shandong Normal University
2024
Jiangxi College of Applied Technology
2021
Cancer Hospital of Chinese Academy of Medical Sciences
2020
University of Chinese Academy of Sciences
2020
Zhejiang Cancer Hospital
2020
Chinese Academy of Sciences
2020
Purpose Automatic breast ultrasound (ABUS) imaging has become an essential tool in cancer diagnosis since it provides complementary information to other modalities. Lesion segmentation on ABUS is a prerequisite step of computer‐aided (CAD). This work aims develop deep learning‐based method for tumor using three‐dimensional (3D) automatically. Methods For ABUS, we developed Mask scoring region‐based convolutional neural network (R‐CNN) that consists five subnetworks, is, backbone, regional...
Early detection significantly enhances patients' survival rates by identifying tumors in their initial stages through medical imaging. However, prevailing methodologies encounter challenges extracting comprehensive information from diverse modalities, thereby exacerbating semantic disparities and overlooking critical task correlations, consequently compromising the accuracy of prognosis predictions. Moreover, clinical insights emphasize advantageous sharing parameters between tumor...