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eess.IV2024
Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
Masoud Tafavvoghi, Anders Sildnes, Mehrdad Rakaee +4
Classifying breast cancer molecular subtypes is crucial for tailoring treatment strategies. While immunohistochemistry (IHC) and gene expression profiling are standard methods for…
eess.IV2023
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
Masoud Tafavvoghi, Lars Ailo Bongo, Nikita Shvetsov +2
Advancements in digital pathology and computing resources have made a significant impact in the field of computational pathology for breast cancer diagnosis and treatment. However,…