FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation

Author:

Sestini LucaORCID,Rosa Benoit,De Momi Elena,Ferrigno Giancarlo,Padoy Nicolas

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference73 articles.

1. 2017 Robotic instrument segmentation challenge;Allan,2019

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4. Deep learning-based fetoscopic mosaicking for field-of-view expansion;Bano;Int. J. Comput. Assist. Radiol. Surg.,2020

5. Laparoscopic versus open appendectomy: a retrospective cohort study assessing outcomes and cost-effectiveness;Biondi;World J. Emerg. Surg.,2016

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