Area of research
Radiology, Nuclear Medicine and Imaging · Computer Vision and Pattern Recognition
Research interest
Research interests include Artificial intelligence, Computer science, Segmentation, Convolutional neural network, Robot, and Artificial neural network.
AMNet: Adaptive multi-level network for deformable registration of 3D brain MR images
SE-COTR: A Novel Fruit Segmentation Model for Green Apples Application in Complex Orchard
Screening of potential inhibitors targeting the main protease structure of SARS-CoV-2 via molecular docking
Apple harvesting robot under information technology: A review
Fruit recognition based on pulse coupled neural network and genetic Elman algorithm application in apple harvesting robot
IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge
Segmenting Diabetic Retinopathy Lesions in Multispectral Images Using Low-Dimensional Spatial-Spectral Matrix Representation
Preprocessing method of night vision image application in apple harvesting robot
A new scale for the assessment of conjunctival bulbar redness
Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model
Choroid segmentation from Optical Coherence Tomography with graph-edge weights learned from deep convolutional neural networks
A novel optimized GA–Elman neural network algorithm
Hierarchical retinal blood vessel segmentation based on feature and ensemble learning