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The assessment of deep learning computer vision algorithms for the diagnosis of prostatic adenocarcinoma
2021
The Annals of Clinical and Analytical Medicine
Aim: In this study, we aimed to evaluate the effectiveness of artificial intelligence for the histopathological diagnosis of prostatic adenocarcinoma by analyzing the digitized pathology slides. Materials and Methods: After the approval of the research project by the Ethics Committee of the University of Lahore -Islamabad Campus, a total of eight hundred and two (802) images were obtained from the anonymized slides stained with hematoxylin and eosin, which included 337 anonymized images of
doi:10.4328/acam.20322
fatcat:6in6uj4cordalaqgl3qjnvyeyy