Visualizing Decisions and Analytics of Artificial Intelligence based Cancer Diagnosis and Grading of Specimen Digitized Biopsy: Case Study for Prostate Cancer

Akarsh Singh, Michael Wan, Lane Harrison, Anne Breggia, Robert Christman, Raimond L. Winslow, Saeed Amal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationIUI 2023 - Companion Proceedings of the 28th International Conference on Intelligent User Interfaces
PublisherAssociation for Computing Machinery
Pages166-170
Number of pages5
ISBN (Electronic)9798400701078
DOIs
StatePublished - Mar 27 2023
Externally publishedYes
Event28th International Conference on Intelligent User Interfaces, IUI 2023 - Sydney, Australia
Duration: Mar 27 2023Mar 31 2023

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference28th International Conference on Intelligent User Interfaces, IUI 2023
Country/TerritoryAustralia
CitySydney
Period3/27/233/31/23

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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