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20182022
most citedMitosis domain generalization in histopathology images -- The MIDOG challenge

162 citations · 247 across the 11 of their papers we have counts for

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7 papers · 1 filter

cs.CV2022★ 13 cited

DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation

Feilong Tang, Qiming Huang, Jinfeng Wang +3

Transformer-based models have been widely demonstrated to be successful in computer vision tasks by modelling long-range dependencies and capturing global representations. However,…

cs.CV2022★ 1 cited

Geometry-aware Single-image Full-body Human Relighting

Chaonan Ji, Tao Yu, Kaiwen Guo +2

Single-image human relighting aims to relight a target human under new lighting conditions by decomposing the input image into albedo, shape and lighting. Although plausible religh…

cs.CV2020

Class-Aware Domain Adaptation for Improving Adversarial Robustness

Xianxu Hou, Jingxin Liu, Bolei Xu +3

Recent works have demonstrated convolutional neural networks are vulnerable to adversarial examples, i.e., inputs to machine learning models that an attacker has intentionally desi…

cs.CV2019

Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation

Xianxu Hou, Jingxin Liu, Bolei Xu +6

Supervised semantic segmentation normally assumes the test data being in a similar data domain as the training data. However, in practice, the domain mismatch between the training…

cs.CV2019★ 6 cited

Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification

Bolei Xu, Jingxin Liu, Xianxu Hou +6

One issue with computer based histopathology image analysis is that the size of the raw image is usually very large. Taking the raw image as input to the deep learning model would…

cs.CV2018★ 4 cited

Outline Objects using Deep Reinforcement Learning

Zhenxin Wang, Sayan Sarcar, Jingxin Liu +2

Image segmentation needs both local boundary position information and global object context information. The performance of the recent state-of-the-art method, fully convolutional…

cs.CV2018★ 59 cited

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray

Jingxin Liu, Bolei Xu, Chi Zheng +7

One of the methods for stratifying different molecular classes of breast cancer is the Nottingham Prognostic Index Plus (NPI+) which uses breast cancer relevant biomarkers to stain…