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08/20/2023
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures
Crohn's disease (CD) is a chronic and relapsing inflammatory condition t...
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07/03/2023
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images
Many anomaly detection approaches, especially deep learning methods, hav...
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07/01/2023
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning
The Segment Anything Model (SAM) is a recently proposed prompt-based seg...
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05/31/2023
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning
Multi-class cell segmentation in high-resolution Giga-pixel whole slide ...
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04/24/2023
Exploring shared memory architectures for end-to-end gigapixel deep learning
Deep learning has made great strides in medical imaging, enabled by hard...
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04/09/2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
The segment anything model (SAM) was released as a foundation model for ...
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04/01/2023
Cross-scale Multi-instance Learning for Pathological Image Diagnosis
Analyzing high resolution whole slide images (WSIs) with regard to infor...
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08/15/2022