A Holistically-Nested U-Net: Surgical Instrument Segmentation Based on Convolutional Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://link.springer.com/content/pdf/10.1007/s10278-019-00277-1.pdf
Reference24 articles.
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3. Lalys F, Jannin P: Surgical process modelling: A review. Int J Comput Assist Radiol Surg 9:495–511, 2014. https://doi.org/10.1007/s11548-013-0940-5
4. Doignon C, Nageotte F, De Mathelin M: Detection of grey regions in color images: Application to the segmentation of a surgical instrument in robotized laparoscopy, in: 2004 IEEE/RSJ Int. Conf. Intell. Robot. Syst. (IEEE Cat. No.04CH37566), IEEE, n.d.: pp. 3394–3399. https://doi.org/10.1109/IROS.2004.1389941
5. Bouget D, Benenson R, Omran M, Riffaud L, Schiele B, Jannin P: Detecting surgical tools by modelling local appearance and global shape. IEEE Trans Med Imaging 34:2603–2617, 2015. https://doi.org/10.1109/TMI.2015.2450831
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