Search Results for author:
Found 5 papers, 2 papers with code
Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images
G-HANet is expected to be explored as a useful tool by the research community to address the current bottleneck of insufficient histo-genomic data pairing in the context of cancer prognosis and precision oncology.
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification
Multiple instance learning (MIL) is a powerful approach to classify whole slide images (WSIs) for diagnostic pathology.
Multi-channel deep convolutional neural networks for multi-classifying thyroid disease
Therefore, this study proposed a novel multi-channel convolutional neural network (CNN) architecture to address the multi-class classification task of thyroid disease.
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent
Actuated by the growing attention to personal healthcare and the pandemic, the popularity of E-health is proliferating.
Feature Erasing and Diffusion Network for Occluded Person Re-Identification
With the guidance of the occlusion scores from OEM, the feature diffusion process is mainly conducted on visible body parts, which guarantees the quality of the synthesized NTP characteristics.
Ranked #1 on
Person Re-Identification
on Occluded REID
(Rank-1 metric)
