About
Contact & Profiles
A5101418604
Research Areas
- AI in cancer detection
- Cutaneous Melanoma Detection and Management
- Nonmelanoma Skin Cancer Studies
- Generative Adversarial Networks and Image Synthesis
- Cell Image Analysis Techniques
10.1016/j.media.2020.101915
article
EN
Medical Image Analysis
2020-11-21
Densely labelled segmentation data for digital pathology images is costly to produce but invaluable training effective machine learning models. We make available 290 hand-annotated histopathology tissue sections of the 3 most common skin cancers; basal cell carcinoma (BCC), squamous (SCC) and intraepidermal (IEC). These non-melanoma cancers constitute over 90% all cancer diagnoses hence this dataset gives an opportunity scientific community benchmark analytic methodologies on a significant...
10.1016/j.dib.2021.107587
article
EN
cc-by-nc-nd
Data in Brief
2021-11-19
10.1016/j.compmedimag.2021.101998
article
EN
Computerized Medical Imaging and Graphics
2021-10-13
Coming Soon ...