Corrigendum to “Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art” [Comput. Biol. Med. 169 (2024) 107929]

  • The authors regret that the SAR-RARP50 dataset is missing from the description of publicly available datasets presented in Chapter 4.

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Metadaten
Author:Rueckert TobiasORCiD, Rueckert DanielORCiD, Christoph PalmORCiDGND
URN:urn:nbn:de:bvb:898-opus4-70337
DOI:https://doi.org/10.1016/j.compbiomed.2024.108027
Parent Title (English):Computers in Biology and Medicine
Publisher:Elsevier
Document Type:Article
Language:English
Year of first Publication:2024
Publishing Institution:Ostbayerische Technische Hochschule Regensburg
Release Date:2024/02/19
Pagenumber:1
Note:
Aufsatz unter: https://opus4.kobv.de/opus4-oth-regensburg/frontdoor/index/index/docId/6983
Institutes:Fakultät Informatik und Mathematik
Regensburg Center of Health Sciences and Technology - RCHST
Fakultät Informatik und Mathematik / Regensburg Medical Image Computing (ReMIC)
research focus:Lebenswissenschaften und Ethik
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International