4 Result(s)
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Article
Open AccessA fully automated and explainable algorithm for predicting malignant transformation in oral epithelial dysplasia
Oral epithelial dysplasia (OED) is a premalignant histopathological diagnosis given to lesions of the oral cavity. Its grading suffers from significant inter-/intra-observer variability, and does not reliably ...
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Article
Open AccessAI-enabled routine H&E image based prognostic marker for early-stage luminal breast cancer
Breast cancer (BC) grade is a well-established subjective prognostic indicator of tumour aggressiveness. Tumour heterogeneity and subjective assessment result in high degree of variability among observers in B...
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Article
A Federated Learning Approach to Tumor Detection in Colon Histology Images
Federated learning (FL), a relatively new area of research in medical image analysis, enables collaborative learning of a federated deep learning model without sharing the data of participating clients. In thi...
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Article
Open AccessTIAToolbox as an end-to-end library for advanced tissue image analytics
Computational pathology has seen rapid growth in recent years, driven by advanced deep-learning algorithms. Due to the sheer size and complexity of multi-gigapixel whole-slide images, to the best of our knowle...
