Artificial intelligence for advance requesting of immunohistochemistry in diagnostically uncertain prostate biopsies
The use of immunohistochemistry in the reporting of prostate biopsies is an important adjunct when the diagnosis is not definite on haematoxylin and eosin (H&E) morphology alone. The process is however inherently inefficient with delays while waiting for pathologist review to make the request an...
Huvudupphovsmän: | Chatrian, A, Colling, R, Browning, L, Alham, NK, Sirinukunwattana, K, Malacrino, S, Haghighat, M, Monks, A, Rittscher, J, Verrill, C, Et al. |
---|---|
Materialtyp: | Journal article |
Språk: | English |
Publicerad: |
Springer Nature
2021
|
Liknande verk
Liknande verk
-
Towards the identification of histology based subtypes in prostate cancer
av: Chatrian, A, et al.
Publicerad: (2019) -
A novel quantitative representation of the morphology of prostate cancer and a novel automated tool for advance requesting of immunohistochemistry
av: Chatrian, A
Publicerad: (2022) -
Automated quality assessment of large digitised histology cohorts by artificial intelligence
av: Haghighat, M, et al.
Publicerad: (2022) -
Artificial intelligence-based quality assessment of histopathology whole-slide images within a clinical workflow: assessment of 'pathprofiler' in a diagnostic pathology setting
av: Browning, L, et al.
Publicerad: (2024) -
Automated quality assessment of large digitised histology cohorts by artificial intelligence
av: Maryam Haghighat, et al.
Publicerad: (2022-03-01)