3 citations · 6 across the 4 of their papers we have counts for
4 papers
Multi-View Semi-Supervised Label Distribution Learning with Local Structure Complementarity
Yanshan Xiao, Kaihong Wu, Bo Liu
Label distribution learning (LDL) is a paradigm that each sample is associated with a label distribution. At present, the existing approaches are proposed for the single-view LDL p…
Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning
Majid Behzadpour, Ebrahim Azizi, Kai Wu +1
Accurate and efficient segmentation of brain tumors is critical for diagnosis, treatment planning, and monitoring in clinical practice. In this study, we present an enhanced ResUNe…
Breast Tumor Classification Using EfficientNet Deep Learning Model
Majid Behzadpour, Bengie L. Ortiz, Ebrahim Azizi +1
Precise breast cancer classification on histopathological images has the potential to greatly improve the diagnosis and patient outcome in oncology. The data imbalance problem larg…
Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation
Hao Tang, Lianglun Cheng, Guoheng Huang +3
Image segmentation holds a vital position in the realms of diagnosis and treatment within the medical domain. Traditional convolutional neural networks (CNNs) and Transformer model…