Journal article
MEDAS: an open-source platform as a service to help break the walls between medicine and informatics
Neural Computing and Applications
2022
Abstract
In the past decade, deep learning (DL) has achieved unprecedented success in numerous fields, such as computer vision and healthcare. Particularly, DL is experiencing an increasing development in advanced medical image analysis applications in terms of segmentation, classification, detection, and other tasks. On the one hand, tremendous needs that leverage DL’s power for medical image analysis arise from the research community of a medical, clinical, and informatics background to share their knowledge, skills, and experience jointly. On the other hand, barriers between disciplines are on the road for them, often hampering a full and efficient collaboration. To this end, we propose our novel open-source platform, i.e., MEDAS–the MEDical open-source platform As Service. To the best of our knowledge, MEDAS is the first open-source platform providing collaborative and interactive services for researchers from a medical background using DL-related toolkits easily and for scientists or engineers from informatics modeling faster. Based on tools and utilities from the idea of RINV (Rapid Implementation aNd Verification), our proposed platform implements tools in pre-processing, post-processing, augmentation, visualization, and other phases needed in medical image analysis. Five tasks, concerning lung, liver, brain, chest, and pathology, are validated and demonstrated to be efficiently realizable by using MEDAS.
Details
- Title
- MEDAS: an open-source platform as a service to help break the walls between medicine and informatics
- Authors/Creators
- L. Zhang (Author/Creator) - Xidian UniversityJ. Li (Author/Creator) - Xidian UniversityP. Li (Author/Creator) - Data and Virtual Research Room, Shanghai Broadband Network CenterX. Lu (Author/Creator) - Data and Virtual Research Room, Shanghai Broadband Network CenterM. Gong (Author/Creator) - Xidian UniversityP. Shen (Author/Creator) - Xidian UniversityG. Zhu (Author/Creator) - Xidian UniversityS.A.A. Shah (Author/Creator) - Murdoch UniversityM. Bennamoun (Author/Creator) - The University of Western AustraliaK. Qian (Author/Creator) - Beijing Institute of TechnologyB.W. Schuller (Author/Creator) - Imperial College London
- Publication Details
- Neural Computing and Applications
- Publisher
- Springer London
- Identifiers
- 991005542630107891
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.17 Computer Vision & Graphics
- 4.17.128 Deep Visual Recognition
- Web Of Science research areas
- Computer Science, Artificial Intelligence
- ESI research areas
- Engineering