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Deep Curriculum Learning for Follow-up MRI Registration in Glioblastoma
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division Vi3.ORCID iD: 0000-0002-2358-2096
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.ORCID iD: 0000-0002-5221-2721
Department of Electrical Engineering, National Institute of Technology Durgapur, India.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Radiology.ORCID iD: 0000-0002-9481-6857
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2023 (English)In: Medical Imaging 2023: Image Processing, SPIE -Society of Photo-Optical Instrumentation Engineers , 2023, Vol. 12464, article id 124643IConference paper, Published paper (Refereed)
Abstract [en]

This paper presents a weakly supervised deep convolutional neural network-based approach to perform voxel-level3D registration between subsequent follow-up MRI scans of the same patient. To handle the large deformation inthe surrounding brain tissues due to the tumor’s mass effect we proposed curriculum learning-based training forthe network. Weak supervision helps the network to concentrate more focus on the tumor region and resectioncavity through a saliency detection network. Qualitative and quantitative experimental results show the proposedregistration network outperformed two popular state-of-the-art methods.

Place, publisher, year, edition, pages
SPIE -Society of Photo-Optical Instrumentation Engineers , 2023. Vol. 12464, article id 124643I
Series
Progress in Biomedical Optics and Imaging, ISSN 1605-7422, E-ISSN 2410-904
National Category
Radiology, Nuclear Medicine and Medical Imaging Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-490229DOI: 10.1117/12.2654143ISI: 001011420500113ISBN: 9781510660335 (print)ISBN: 9781510660342 (electronic)OAI: oai:DiVA.org:uu-490229DiVA, id: diva2:1717328
Conference
SPIE Conference on Medical Imaging - Image Processing, San Diego, CA, USA, February 19-24, 2023
Funder
Vinnova, 2020-03616Available from: 2022-12-08 Created: 2022-12-08 Last updated: 2023-08-16Bibliographically approved

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Banerjee, SubhashisToumpanakis, DimitriosWikström, JohanStrand, Robin

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