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Lu S 8
Showing records 1 to 8 | Display all abstracts from Lu S82612 Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
Xu YL
Sensors (Basel, Switzerland) 2019; 19:
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Orlando JI
Medical Image Analysis 2020; 59: 101570
82612 Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
Lu S
Sensors (Basel, Switzerland) 2019; 19:
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Fu H; Barbosa Breda J
Medical Image Analysis 2020; 59: 101570
82612 Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
Li HX
Sensors (Basel, Switzerland) 2019; 19:
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Van Keer K
Medical Image Analysis 2020; 59: 101570
82612 Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
Li RR
Sensors (Basel, Switzerland) 2019; 19:
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Bathula DR; Diaz-Pinto A; Diaz-Pinto A; Fang R; Heng PA; Heng PA; Kim J; Lee J; Li X; Liu P; Lu S; Murugesan B; Naranjo V; Naranjo V; Phaye SSR; Shankaranarayana SM; Sikka A; Son J; van den Hengel A; Wang S; Wu J; Wu Z; Xu G; Xu Y; Yin
Medical Image Analysis 2020; 59: 101570
