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Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging
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Paper Abstract

Artificial Intelligence (AI) is increasingly becoming a tool to enhance various medical image analysis tasks with accuracies comparable to expert clinicians. Computer assisted detection and diagnosis, and image segmentation and registration have significantly benefited from AI. However, integration of AI into the clinical workflow has been slow due to requirements for libraries that are specific to each model, and also environments that are specific to clinical centers. These challenges demonstrate the need for an AI-based solution that can be integrated into any environment with minimum hardware and software overhead. Tesseract-Medical Imaging (Tesseract-MI) is an open-source, web-based platform which enables deployment of AI models while simultaneously providing standard image viewing and reporting schemes. The goal of Tesseract-MI is to augment 3D medical imaging and provide a 4th dimension (AI) when requested by a user. As a case study, we demonstrate the utility of our platform and present ProstateCancer.ai, a web application for identification of clinically significant prostate cancer in MRI.

Paper Details

Date Published: 8 March 2019
PDF: 6 pages
Proc. SPIE 10951, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, 109511R (8 March 2019); doi: 10.1117/12.2513004
Show Author Affiliations
Alireza Sedghi, Queen's Univ. (Canada)
Soheil Hamidi, Queen's Univ. (Canada)
Alireza Mehrtash, Brigham and Women's Hospital (United States)
Univ. of British Columbia (Canada)
Erik Ziegler, Open Health Imaging Foundation (United States)
Clare Tempany, Brigham and Women's Hospital (United States)
Steve Pieper, Brigham and Women's Hospital (United States)
Tina Kapur, Brigham and Women's Hospital (United States)
Parvin Mousavi, Queen's Univ. (Canada)


Published in SPIE Proceedings Vol. 10951:
Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling
Baowei Fei; Cristian A. Linte, Editor(s)

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