activity
20202023
most citedSegment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging

97 citations · 180 across the 21 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.CV2022★ 2 cited

CircleSnake: Instance Segmentation with Circle Representation

Ethan H. Nguyen, Haichun Yang, Zuhayr Asad +3

Circle representation has recently been introduced as a medical imaging optimized representation for more effective instance object detection on ball-shaped medical objects. With i…

cs.CV2022

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning

Tianyuan Yao, Chang Qu, Jun Long +13

With the rapid development of self-supervised learning (e.g., contrastive learning), the importance of having large-scale images (even without annotations) for training a more gene…

eess.IV2022

Omni-Seg: A Scale-aware Dynamic Network for Renal Pathological Image Segmentation

Ruining Deng, Quan Liu, Can Cui +9

Comprehensive semantic segmentation on renal pathological images is challenging due to the heterogeneous scales of the objects. For example, on a whole slide image (WSI), the cross…

cs.CV2022

Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining

Tianyuan Yao, Yuzhe Lu, Jun Long +6

The quantitative detection, segmentation, and characterization of glomeruli from high-resolution whole slide imaging (WSI) play essential roles in the computer-assisted diagnosis a…

cs.LG2022★ 9 cited

Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review

Can Cui, Haichun Yang, Yaohong Wang +6

The rapid development of diagnostic technologies in healthcare is leading to higher requirements for physicians to handle and integrate the heterogeneous, yet complementary data th…

cs.LG2022★ 1 cited

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data

Can Cui, Han Liu, Quan Liu +6

Integrating cross-department multi-modal data (e.g., radiological, pathological, genomic, and clinical data) is ubiquitous in brain cancer diagnosis and survival prediction. To dat…

eess.IV2022

Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification

Yuzhe Lu, Haichun Yang, Zuhayr Asad +5

Recent studies have demonstrated the diagnostic and prognostic values of global glomerulosclerosis (GGS) in IgA nephropathy, aging, and end-stage renal disease. However, the fine-g…