Biased data, biased AI: deep networks predict the acquisition site of TCGA images

• Main Authors: Taher Dehkharghanian (Author), Azam Asilian Bidgoli (Author), Abtin Riasatian (Author), Pooria Mazaheri (Author), Clinton J. V. Campbell (Author), Liron Pantanowitz (Author), H. R. Tizhoosh (Author), Shahryar Rahnamayan (Author)
• Format: Book
• Published: BMC, 2023-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Deep learning models applied to healthcare applications including digital pathology have been increasing their scope and importance in recent years. Many of these models have been trained on The Cancer Genome Atlas (TCGA) atlas of digital images, or use it as a validation source....