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06/14/2023
Generate to Understand for Representation
In recent years, a significant number of high-quality pretrained models ...
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04/26/2023
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation
The domain shift in pathological segmentation is an important problem, w...
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04/26/2023
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation
The development of medical image segmentation using deep learning can si...
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03/24/2022
Compound Domain Generalization via Meta-Knowledge Encoding
Domain generalization (DG) aims to improve the generalization performanc...
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08/24/2021
Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System
Respiratory diseases, including asthma, bronchitis, pneumonia, and upper...
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04/21/2021
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation
Instance level detection and segmentation of thoracic diseases or abnorm...
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11/30/2020
Adaptive noise imitation for image denoising
The effectiveness of existing denoising algorithms typically relies on a...
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10/19/2020
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
Segmentation of infected areas in chest CT volumes is of great significa...
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05/21/2019