CrackDenseLinkNet: a deep convolutional neural network for semantic segmentation of cracks on concrete surface images
Cracks are the defects formed by cyclic loading, fatigue, shrinkage, creep, and so on. In
addition, they represent the deterioration of the structures over some time. Therefore, it is …
addition, they represent the deterioration of the structures over some time. Therefore, it is …
Joined: Prior guided multi-task learning for joint optic disc/cup segmentation and fovea detection
Fundus photography has been routinely used to document the presence and severity of
various retinal degenerative diseases such as age-related macula degeneration, glaucoma …
various retinal degenerative diseases such as age-related macula degeneration, glaucoma …
RIB-NET AS MODIFICATION OF CNN ARCHITECTURE FOR SEMANTIC SEGMENTATION OF OPTIC DISC AND OPTIC CUP
Optic disc and optic cup segmentation are needed to detect glaucoma and diabetic
retinopathy disorders in the retina. The separation of optic discs, optic cups, and other …
retinopathy disorders in the retina. The separation of optic discs, optic cups, and other …
Prior Information Guided Coarse-to-fine Dual-branch Encoding Network for Fovea Localization and Optic Disc/Cup Segmentation
H Lei, J Zhao, L Huang, H Xie… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Fundus images are commonly used to document the presence and severity of various retinal
degenerative diseases, where the fovea, optic disc (OD), and optic cup (OC) serve as …
degenerative diseases, where the fovea, optic disc (OD), and optic cup (OC) serve as …
Three-stage framework for the detection of glaucoma using adaptive u-network
SV Lakshmi, K Sujatha, J Janet - NeuroQuantology, 2022 - search.proquest.com
Glaucoma is the main reasonforpermanentocular deficiency around the world. Early-stage
recognition of glaucoma is significant for eye diseasediagnosis. In retina analysis, the exact …
recognition of glaucoma is significant for eye diseasediagnosis. In retina analysis, the exact …