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

Alireza Sedghi; Soheil Hamidi; Alireza Mehrtash; Erik Ziegler; Clare Tempany; Steve Pieper; Tina Kapur; Parvin Mousavi

doi:10.1117/12.2513004

8 March 2019 Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging

Alireza Sedghi, Soheil Hamidi, Alireza Mehrtash, Erik Ziegler, Clare Tempany, Steve Pieper, Tina Kapur, Parvin Mousavi

Author Affiliations +

Proceedings Volume 10951, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling; 109511R (2019) https://doi.org/10.1117/12.2513004
Event: SPIE Medical Imaging, 2019, San Diego, California, United States

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 4^th 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.

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Alireza Sedghi, Soheil Hamidi, Alireza Mehrtash, Erik Ziegler, Clare Tempany, Steve Pieper, Tina Kapur, and Parvin Mousavi "Tesseract-medical imaging: open-source browser-based platform for artificial intelligence deployment in medical imaging", Proc. SPIE 10951, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, 109511R (8 March 2019); https://doi.org/10.1117/12.2513004

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KEYWORDS

Artificial intelligence

Medical imaging

Magnetic resonance imaging

Picture Archiving and Communication System

Prostate

Clinical research

Integration

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