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09/08/2023
Context-Aware Prompt Tuning for Vision-Language Model with Dual-Alignment
Large-scale vision-language models (VLMs), e.g., CLIP, learn broad visua...
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07/20/2023
SLPD: Slide-level Prototypical Distillation for WSIs
Improving the feature representation ability is the foundation of many w...
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03/13/2023
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images
Multi-instance learning (MIL) is an effective paradigm for whole-slide p...
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04/20/2022
Interventional Multi-Instance Learning with Deconfounded Instance-Level Prediction
When applying multi-instance learning (MIL) to make predictions for bags...
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04/18/2022
Enhancing Non-mass Breast Ultrasound Cancer Classification With Knowledge Transfer
Much progress has been made in the deep neural network (DNN) based diagn...
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12/03/2021
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning
By leveraging data from a fully labeled source domain, unsupervised doma...
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10/08/2020
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
Predicting clinical outcome is remarkably important but challenging. Res...
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04/09/2020
