Multinucleated cells

Discovery of Rare Phenotypes in Cellular Images Using Weakly Supervised Deep Learning

Development of a deep learning algorithm that can automatically discover abnormal phenotypes from an image of heterogenous cells without performing cell segmentation. Discoverd phenotypes can then be highlighted by the algorithm for validation. This have an important application in early detection of cancer where few cancer cells progress into malignancy.