Needle tracking in low-resolution ultrasound volumes using deep learning.

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Bibliographic Details
Title: Needle tracking in low-resolution ultrasound volumes using deep learning.
Authors: Grube S; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany. sarah.grube@tuhh.de., Latus S; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany., Behrendt F; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany., Riabova O; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany., Neidhardt M; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany., Schlaefer A; Institute of Medical Technology and Intelligent Systems, Hamburg University of Technology, Hamburg, Germany.
Source: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2024 Oct; Vol. 19 (10), pp. 1975-1981. Date of Electronic Publication: 2024 Jul 13.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429 (Electronic) Linking ISSN: 18616410 NLM ISO Abbreviation: Int J Comput Assist Radiol Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1861-6429
DOI:10.1007/s11548-024-03234-8