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09/14/2023
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images
Self-supervised pretraining attempts to enhance model performance by obt...
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06/30/2023
Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
Large-scale visual-language pre-trained models (VLPM) have proven their ...
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06/05/2023
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation
Nuclei instance segmentation on histopathology images is of great clinic...
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05/18/2022
Transformer based multiple instance learning for weakly supervised histopathology image segmentation
Hispathological image segmentation algorithms play a critical role in co...
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11/30/2017
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
The visual attributes of cells, such as the nuclear morphology and chrom...
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11/21/2016
Gland Instance Segmentation Using Deep Multichannel Neural Networks
Objective: A new image instance segmentation method is proposed to segme...
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07/12/2016