Real-time surgical needle detection using region-based convolutional neural networks

Atsushi Nakazawa; Kanako Harada; Mamoru Mitsuishi; Pierre Jannin

doi:10.1007/s11548-019-02050-9

Journal Articles International Journal of Computer Assisted Radiology and Surgery Year : 2020

Real-time surgical needle detection using region-based convolutional neural networks

(1) , (1) , (1) , (2)

1
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Atsushi Nakazawa

Function : Correspondent author

The University of Tokyo

Kanako Harada

Function : Author

The University of Tokyo

Mamoru Mitsuishi

Function : Author

The University of Tokyo

Pierre Jannin

Function : Author
PersonId : 740200
IdHAL : pierre-jannin
ORCID : 0000-0002-7415-071X
IdRef : 116295848

Laboratoire Traitement du Signal et de l'Image

Keywords

Region proposal Needle detection Microsurgery Convolutional neural network

Domains

Life Sciences [q-bio] Bioengineering

Laurent Jonchère : Connect in order to contact the contributor

https://hal-univ-rennes1.archives-ouvertes.fr/hal-02280263

Submitted on : Friday, September 6, 2019-11:04:31 AM

Last modification on : Thursday, March 16, 2023-3:10:09 PM

Dates and versions

hal-02280263 , version 1 (06-09-2019)

Identifiers

HAL Id : hal-02280263 , version 1
DOI : 10.1007/s11548-019-02050-9
PUBMED : 31422553

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Atsushi Nakazawa, Kanako Harada, Mamoru Mitsuishi, Pierre Jannin. Real-time surgical needle detection using region-based convolutional neural networks. International Journal of Computer Assisted Radiology and Surgery, 2020, 15 (1), pp.41-47. ⟨10.1007/s11548-019-02050-9⟩. ⟨hal-02280263⟩

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Real-time surgical needle detection using region-based convolutional neural networks

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