Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification

arXiv:2405.09990v1 Announce Type: cross
Abstract: Large pretrained transformers are increasingly being developed as generalised foundation models which can underpin powerful task-specific artificial intelligence models. Histopathology foundation models show promise across many tasks, but analyses have been limited by arbitrary hyperparameters that were not tuned to the specific task/dataset. We report the most rigorous single-task validation conducted to date of a histopathology foundation model, and the first performed in ovarian cancer subtyping. Attention-based multiple instance learning classifiers were compared using vision …

abstract artificial artificial intelligence arxiv cancer classification cs.ai cs.cv dataset eess.iv foundation intelligence report show tasks transformers type