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05/09/2023
CAMIL: Context-Aware Multiple Instance Learning for Whole Slide Image Classification
Cancer diagnoses typically involve human pathologists examining whole sl...
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05/02/2023
Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations
We study pseudo labelling and its generalisation for semi-supervised seg...
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08/08/2022
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation
This paper concerns pseudo labelling in segmentation. Our contribution i...
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03/19/2022
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation
We propose MisMatch, a novel consistency-driven semi-supervised segmenta...
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10/23/2021
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation
The lack of labels is one of the fundamental constraints in deep learnin...
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09/22/2021
Learning to Downsample for Segmentation of Ultra-High Resolution Images
Segmentation of ultra-high resolution images with deep learning is chall...
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05/20/2021
Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation
Chinese word segmentation (CWS) is the basic of Chinese natural language...
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07/31/2020
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
Recent years have seen increasing use of supervised learning methods for...
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07/29/2020
