Domain generalization in computational pathology: survey and guidelines

M Jahanifar, M Raza, K Xu, T Vuong… - arXiv preprint arXiv …, 2023 - arxiv.org
Deep learning models have exhibited exceptional effectiveness in Computational Pathology
(CPath) by tackling intricate tasks across an array of histology image analysis applications …

[HTML][HTML] Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions

TD Pham, MT Teh, D Chatzopoulou, S Holmes… - Current …, 2024 - mdpi.com
Artificial intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing
innovative tools that enhance diagnostic accuracy and personalize treatment strategies. This …

OralEpitheliumDB: A dataset for oral epithelial dysplasia image segmentation and classification

AB Silva, AS Martins, TAA Tosta, AM Loyola… - Journal of Imaging …, 2024 - Springer
Early diagnosis of potentially malignant disorders, such as oral epithelial dysplasia, is the
most reliable way to prevent oral cancer. Computational algorithms have been used as an …

An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images

A Alsalemi, A Shakeel, M Clark, SA Khurram… - arXiv preprint arXiv …, 2024 - arxiv.org
Early detection of cancer can help improve patient prognosis by early intervention. Head
and neck cancer is diagnosed in specialist centres after a surgical biopsy, however, there is …

An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer

AJ Shephard, M Jahanifar, R Wang… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Tumour-infiltrating lymphocytes (TILs) are considered as a valuable prognostic markers in
both triple-negative and human epidermal growth factor receptor 2 (HER2) positive breast …