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RU-Net: A Novel Approach for Gastro-Intestinal Tract Image ..:
, In:
Communications in Computer and Information Science; Applied Machine Learning and Data Analytics
,
Guggari, Shankru
;
Srivastava, B. Chandan
;
Kumar, Vivek
... - p. 131-141 , 2023
Link:
https://doi.org/10.1007/978-3-031-34222-6_11
RT T1 <cTitle>Communications in Computer and Information Science; Applied Machine Learning and Data Analytics</cTitle>: T1 <Title>RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentation Using Convolutional Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-031-34222-6_11&Exemplar=1&LAN=DE A1 Guggari, Shankru A1 Srivastava, B. Chandan A1 Kumar, Vivek A1 Harshita, Halli A1 Farande, Vishal A1 Kulkarni, Uday A1 Meena, S. M. PB Springer Nature Switzerland YR 2023 SP 131 OP 141 LK http://dx.doi.org/https://doi.org/10.1007/978-3-031-34222-6_11 DO https://doi.org/10.1007/978-3-031-34222-6_11 SF ELIB - SuUB Bremen
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