Using High-res Images To Detect Precancerous Cervical Lesions

A new study presents an innovative approach to the detection of pre-cancerous lesions using large, high-res images. A team of researchers from Portugal developed a machine learning solution that assists pathologists in the detection of cervical dysplasia, making the diagnosis of new samples completely automatic. This weakly-supervised methodology combines annotated and non-annotated data during model training, allowing researchers to develop models with good performance, even with some missing information. The model grades cervical dysplasia as low or high-grade intraepithelial squamous lesions.