Area of research
Geometry and Topology · Mathematical Physics
Research interest
Research interests include Computer science, Artificial intelligence, Breast ultrasound, Segmentation, Feature (linguistics), and Breast cancer.
The single-cell atlas of colorectal cancer reveals cellular heterogeneity and key molecular features of the tumor immune microenvironment
Data-Aware Customization of Activation Functions Reduces Neural Network Error
Interannual Monitoring of Cropland in South China from 1991 to 2020 Based on the Combination of Deep Learning and the LandTrendr Algorithm
Extraction and Mapping of Cropland Parcels in Typical Regions of Southern China Using Unmanned Aerial Vehicle Multispectral Images and Deep Learning
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
Semantic segmentation of breast ultrasound image with fuzzy deep learning network and breast anatomy constraints
Bi-Rads-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images
On the compactness problem for a family of generalized Seiberg–Witten equations in dimension 3
Semantic Segmentation of Breast Ultrasound Image with Pyramid Fuzzy Uncertainty Reduction and Direction Connectedness Feature
Tumor saliency estimation for breast ultrasound images via breast anatomy modeling
Breast Anatomy Enriched Tumor Saliency Estimation
A Use of Even Activation Functions in Neural Networks
Mesh Parametrization Driven by Unit Normal Flow
Automatic breast ultrasound image segmentation: A survey
Medical Knowledge Constrained Semantic Breast Ultrasound Image Segmentation
A Hybrid Framework for Tumor Saliency Estimation