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07/11/2023
OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification
Active learning (AL) is an effective approach to select the most informa...
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07/05/2023
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
Weakly supervised whole slide image classification is usually formulated...
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05/29/2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification
This paper introduces the novel concept of few-shot weakly supervised le...
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04/09/2023
Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement
Existing super-resolution models for pathology images can only work in f...
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03/01/2023
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation
Accurate segmentation of multiple organs of the head, neck, chest, and a...
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02/07/2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Precise delineation of multiple organs or abnormal regions in the human ...
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12/23/2022
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)
The advance of computer-aided detection systems using deep learning open...
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10/07/2022
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
Computer-aided pathology diagnosis based on the classification of Whole ...
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08/18/2022
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniqu
Histopathological images contain abundant phenotypic information and pat...
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06/17/2022
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification
Multiple Instance Learning (MIL) is widely used in analyzing histopathol...
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01/19/2022
TransFuse: A Unified Transformer-based Image Fusion Framework using Self-supervised Learning
Image fusion is a technique to integrate information from multiple sourc...
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12/02/2021
TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework using Self-Supervised Multi-Task Learning
In this paper, we propose TransMEF, a transformer-based multi-exposure i...
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04/12/2021
A Learnable Self-supervised Task for Unsupervised Domain Adaptation on Point Clouds
Deep neural networks have achieved promising performance in supervised p...
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07/28/2020
WaveFuse: A Unified Deep Framework for Image Fusion with Wavelet Transform
We propose an unsupervised image fusion architecture for multiple applic...
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01/01/2020
Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling
Accurate identification and localization of the vertebrae in CT scans is...
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03/25/2019
A Novel Method for the Absolute Pose Problem with Pairwise Constraints
Absolute pose estimation is a fundamental problem in computer vision, an...
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12/29/2018
Fast and Globally Optimal Rigid Registration of 3D Point Sets by Transformation Decomposition
The rigid registration of two 3D point sets is a fundamental problem in ...
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08/25/2018