49 citations · 88 across the 8 of their papers we have counts for
6 papers · 1 filter
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation
Yi Lin, Dong Zhang, Xiao Fang +3
Medical image segmentation is a fundamental task in the community of medical image analysis. In this paper, a novel network architecture, referred to as Convolution, Transformer, a…
DoNet: Deep De-overlapping Network for Cytology Instance Segmentation
Hao Jiang, Rushan Zhang, Yanning Zhou +2
Cell instance segmentation in cytology images has significant importance for biology analysis and cancer screening, while remains challenging due to 1) the extensive overlapping tr…
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification
Conghao Xiong, Hao Chen, Joseph J. Y. Sung +1
Multiple Instance Learning (MIL) and transformers are increasingly popular in histopathology Whole Slide Image (WSI) classification. However, unlike human pathologists who selectiv…
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions
Dong Zhang, Yi Lin, Hao Chen +4
Over the past few years, the rapid development of deep learning technologies for computer vision has significantly improved the performance of medical image segmentation (MedISeg).…
Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning
Hao Chen, Mario Valerio Giuffrida, Peter Doerner +1
Several imaging applications (vessels, retina, plant roots, road networks from satellites) require the accurate segmentation of thin structures for subsequent analysis. Discontinui…
Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes
Hao Yang, Hao Wu, Hao Chen
Recent advances in deep learning greatly boost the performance of object detection. State-of-the-art methods such as Faster-RCNN, FPN and R-FCN have achieved high accuracy in chall…