@inproceedings{55d0d31274f145fdb80549202c79af57,
title = "Visualizing Decisions and Analytics of Artificial Intelligence based Cancer Diagnosis and Grading of Specimen Digitized Biopsy: Case Study for Prostate Cancer",
abstract = "The rise in Artificial Intelligence (AI) and deep learning research has shown great promise in diagnosing prostate cancer from whole slide image biopsies. Intelligent application interface for diagnosis is a progressive way to communicate AI results in the medical domain for practical use. This paper aims to suggest a way to integrate state-of-the-art deep learning algorithms into a web application for visualizations of decisions and analytics of an AI based algorithms applied on cancer digitized specimen biopsies. Performed primarily by visualizing evidence and explanation of the decision using image from the biopsy.",
author = "Akarsh Singh and Michael Wan and Lane Harrison and Anne Breggia and Robert Christman and Winslow, {Raimond L.} and Saeed Amal",
note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 28th International Conference on Intelligent User Interfaces, IUI 2023 ; Conference date: 27-03-2023 Through 31-03-2023",
year = "2023",
month = mar,
day = "27",
doi = "10.1145/3581754.3584177",
language = "English (US)",
series = "International Conference on Intelligent User Interfaces, Proceedings IUI",
publisher = "Association for Computing Machinery",
pages = "166--170",
booktitle = "IUI 2023 - Companion Proceedings of the 28th International Conference on Intelligent User Interfaces",
}