1 code implementation • CVPR 2023 • Hao Jiang, Rushan Zhang, Yanning Zhou, Yumeng Wang, Hao Chen
Cell instance segmentation in cytology images has significant importance for biology analysis and cancer screening, while remains challenging due to 1) the extensive overlapping translucent cell clusters that cause the ambiguous boundaries, and 2) the confusion of mimics and debris as nuclei.
no code implementations • 10 Feb 2022 • Hao Jiang, Yanning Zhou, Yi Lin, Ronald CK Chan, Jiang Liu, Hao Chen
Computational cytology is a critical, rapid-developing, yet challenging topic in the field of medical image computing which analyzes the digitized cytology image by computer-aided technologies for cancer screening.
no code implementations • 21 Apr 2021 • Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Chu Han, Zaiyi Liu, Xin Hao Benjamin Fang, Efstratios Tsougenis, Huangjing Lin, Pheng-Ann Heng
The models were also compared to radiologists on a subset of the internal testing set (n=496).
1 code implementation • 7 Apr 2021 • Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Pheng
Then, we inject a global classification head to the detection model and propose dual attention alignment to guide the global gradient to the local detection branch, which enables learning lesion detection from image-level annotations.
no code implementations • ICCV 2021 • Yanning Zhou, Hang Xu, Wei zhang, Bin Gao, Pheng-Ann Heng
The semi-supervised semantic segmentation methods utilize the unlabeled data to increase the feature discriminative ability to alleviate the burden of the annotated data.
1 code implementation • 21 Jul 2020 • Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng
The teacher's self-ensemble predictions from $K$-time augmented samples are used to construct the reliable pseudo-labels for optimizing the student.
1 code implementation • 3 Sep 2019 • Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir Rajpoot
Furthermore, to deal with redundancy in the graph, we propose a sampling technique that removes nodes in areas of dense nuclear activity.
1 code implementation • 19 Aug 2019 • Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng
In this paper, we propose a novel Instance Relation Network (IRNet) for robust overlapping cell segmentation by exploring instance relation interaction.
no code implementations • 13 Mar 2019 • Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng
Accurate segmenting nuclei instances is a crucial step in computer-aided image analysis to extract rich features for cellular estimation and following diagnosis as well as treatment.
Ranked #5 on Multi-tissue Nucleus Segmentation on Kumar
no code implementations • 22 Dec 2017 • Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng
Cell nuclei detection and fine-grained classification have been fundamental yet challenging problems in histopathology image analysis.