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08/22/2023
Exploring Unsupervised Cell Recognition with Prior Self-activation Maps
The success of supervised deep learning models on cell recognition tasks...
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06/14/2023
Semi-supervised Cell Recognition under Point Supervision
Cell recognition is a fundamental task in digital histopathology image a...
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05/24/2023
PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology
As advances in large language models (LLMs) and multimodal techniques co...
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03/15/2023
Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification
While Multiple Instance Learning (MIL) has shown promising results in di...
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10/14/2022
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images
The success of supervised deep learning models in medical image segmenta...
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07/01/2022
End-to-end cell recognition by point annotation
Reliable quantitative analysis of immunohistochemical staining images re...
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07/01/2022
ChrSNet: Chromosome Straightening using Self-attention Guided Networks
Karyotyping is an important procedure to assess the possible existence o...
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06/30/2022
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology
When designing a diagnostic model for a clinical application, it is cruc...
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02/27/2022
Weakly Supervised Learning for cell recognition in immunohistochemical cytoplasm staining images
Cell classification and counting in immunohistochemical cytoplasm staini...
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07/06/2021
