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].

Titel:: 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].
Dokumenttyp:: Published Erratum
Autor(en):: Rueckert, Tobias; Rueckert, Daniel; Palm, Christoph
Zeitschriftentitel:: Comput Biol Med
Jahr:: 2024
Band / Volume:: 170
Volltext / DOI:: doi:10.1016/j.compbiomed.2024.108027
PubMed:: http://view.ncbi.nlm.nih.gov/pubmed/38341325
Print-ISSN:: 0010-4825
TUM Einrichtung:: Institut für KI und Informatik in der Medizin (Prof. Rückert)
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