In this competition, the goal was to classify HES stained histopathological slices as containing or not containing carcinoma cells. If a carcinoma is present, it is also possible to tell whether it is malignant or not, which gives us three classes:
Carcinoma neg (-1) Carcinoma pos, benign (0) Carcinoma pos, malignant (1)
A total of 186 images was provided but labels were only present for 62 of them.
Two different architectures were used. The first is an Inception ResNet v2 CNN with the bottom layers frozen and the second was a zero-shot model from Open Clip. Both models achieved a score of 77.419% on the public test set and 70.967% on the private test set.