The ORCHID dataset
The ORal Cancer Histology Dataset: A comprehensive histopathology dataset for ML in Oral Cancer grade and stage detection.
Oral Cancer Classifier
Grade-level classification of oral squamous cell carcinoma from histopathology using deep-learning algorithms.
CODA-TB DREAM
We participated in a DREAM challenge to use audio recordings of cough to diagnose the presence of Tuberculosos in a patient.
Animal Tracking
Tracking positional movement of Wild-type Zebrafish (Danio Rerio) to examine behavioural patterns using Computer Vision.
Improved Latent Diffusion Models
Improving text-conditioned latent diffusion models for breast cancer histopathology in a large scale cohort.