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EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos.

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Bibliographic Details
Title: EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos.
Authors: Ozyoruk, Kutsev Bengisu1 (AUTHOR) bengisu.ozyoruk@boun.edu.tr, Gokceler, Guliz Irem1 (AUTHOR), Bobrow, Taylor L.2 (AUTHOR), Coskun, Gulfize1 (AUTHOR), Incetan, Kagan1 (AUTHOR), Almalioglu, Yasin3 (AUTHOR), Mahmood, Faisal4,5,6 (AUTHOR), Curto, Eva7 (AUTHOR), Perdigoto, Luis7 (AUTHOR), Oliveira, Marina7 (AUTHOR), Sahin, Hasan1 (AUTHOR), Araujo, Helder7 (AUTHOR), Alexandrino, Henrique8 (AUTHOR), Durr, Nicholas J.2 (AUTHOR), Gilbert, Hunter B.9 (AUTHOR), Turan, Mehmet1 (AUTHOR) mehmet.turan@boun.edu.tr
Source: Medical Image Analysis. Jul2021, Vol. 71, pN.PAG-N.PAG. 1p.
Database: Academic Search Ultimate
Description
ISSN:13618415
DOI:10.1016/j.media.2021.102058