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OVS+Tumor: a tool for enhanced lung tumor annotation in VR for machine learning training and analysis

Lombeyda, Santiago and Mahabal, Ashish and Crichton, Daniel and Kincaid, Heather and Djorgovski, S. G. and Patriotis, Christos and Srivastava, Sudhir (2019) OVS+Tumor: a tool for enhanced lung tumor annotation in VR for machine learning training and analysis. In: ACM SIGGRAPH 2019 Virtual, Augmented, and Mixed Reality. ACM Press , New York, NY, Art. No. 26. ISBN 9781450363204. https://resolver.caltech.edu/CaltechAUTHORS:20191004-134753975

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Abstract

OVS+Tumor creates a seamless VR environment designed for intuitive interaction aiding in the complex task of parsing through 3D CT-scans and annotating candidate tumors. Through interactive subsetting and on-the-fly iso-cloud generation, a wider range of users beyond just domain experts (radiologists/surgeons) can generate a viable machine-learning training dataset.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1145/3306449.3328825DOIArticle
ORCID:
AuthorORCID
Mahabal, Ashish0000-0003-2242-0244
Djorgovski, S. G.0000-0002-0603-3087
Additional Information:© 2019. Copyright is held by the owner/author(s). We would like to thank the guidance and aid from Jim Barry, Mathieu Desbrun, and Matt Thomson; as well as acknowledge funding from the Interagency Agreement between National Institutes of Health (NIH)/National Cancer Institute (NCI) and NASA, the Chan-Zuckerberg Institute, and Caltech’s Student Affairs, and hardware donations from HTC/Vive, Microsoft, NVIDIA, and Logitech which made of this work possible. OVS+Tumor was developed using free/personal versions of Unity, alongside SteamVR, as well as Zen Fulcrum’s VR Browser for Unity. Voicework by Ashwini Nayak.
Funders:
Funding AgencyGrant Number
NASA80NM0018F0855
NIHUNSPECIFIED
Chan-Zuckerberg InstituteUNSPECIFIED
CaltechUNSPECIFIED
Subject Keywords:Cancer Detection, Nodule Annotation, Tumor Classification, Machine Learning, Virtual Reality, Data Visualization
Record Number:CaltechAUTHORS:20191004-134753975
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20191004-134753975
Official Citation:Daniel Crichton, Heather Kincaid, Ashish Mahabal, Sudhir Srivastava, Santiago Lombeyda, George Djorgovski, and Christos Patriotis. 2019. OVS+Tumor: a tool for enhanced lung tumor annotation in VR for machine learning training and analysis. In ACM SIGGRAPH 2019 Virtual, Augmented, and Mixed Reality (SIGGRAPH '19). ACM, New York, NY, USA, Article 26, 1 pages. DOI: https://doi.org/10.1145/3306449.3328825
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:99091
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:04 Oct 2019 21:00
Last Modified:04 Oct 2019 21:00

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