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08/05/2023
Generative Adversarial Networks for Stain Normalisation in Histopathology
The rapid growth of digital pathology in recent years has provided an id...
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03/31/2023
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review
Purpose - To characterise and assess the quality of published research e...
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02/17/2023
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning
Weakly-supervised classification of histopathology slides is a computati...
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02/06/2023
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs
This study explores the use of the Dirichlet Variational Autoencoder (Di...
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09/14/2021
The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays
Since the emergence of COVID-19, deep learning models have been develope...
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09/01/2021