15 citations · 30 across the 3 of their papers we have counts for
5 papers
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation
Yanning Zhou, Hao Chen, Huangjing Lin +1
Deep learning methods show promising results for overlapping cervical cell instance segmentation. However, in order to train a model with good generalization ability, voluminous pi…
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
Yanning Zhou, Simon Graham, Navid Alemi Koohbanani +3
Colorectal cancer (CRC) grading is typically carried out by assessing the degree of gland formation within histology images. To do this, it is important to consider the overall tis…
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation
Yanning Zhou, Hao Chen, Jiaqi Xu +2
Cell instance segmentation in Pap smear image remains challenging due to the wide existence of occlusion among translucent cytoplasm in cell clumps. Conventional methods heavily re…
CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation
Yanning Zhou, Omer Fahri Onder, Qi Dou +3
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 treatmen…
SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction
Yanning Zhou, Qi Dou, Hao Chen +2
Cell nuclei detection and fine-grained classification have been fundamental yet challenging problems in histopathology image analysis. Due to the nuclei tiny size, significant inte…