Deep learning to estimate human epidermal growth factor receptor 2 status from hematoxylin and eosin-stained breast tissue images

• Main Authors: Deepak Anand (Author), Nikhil Cherian Kurian (Author), Shubham Dhage (Author), Neeraj Kumar (Author), Swapnil Rane (Author), Peter H Gann (Author), Amit Sethi (Author)
• Format: Book
• Published: Elsevier, 2020-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Context: Several therapeutically important mutations in cancers are economically detected using immunohistochemistry (IHC), which highlights the overexpression of specific antigens associated with the mutation. However, IHC panels can be imprecise and relatively expensive in low-income settings. On...