Related references
Note: Only part of the references are listed.Automated delineation of orbital abscess depicted on CT scan using deep learning
Roxana Fu et al.
MEDICAL PHYSICS (2021)
Automated segmentation of the opt ic disc from fundus images using an asymmetric deep learning network
Lei Wang et al.
PATTERN RECOGNITION (2021)
ASSESSMENT OF CENTRAL SEROUS CHORIORETINOPATHY DEPICTED ON COLOR FUNDUS PHOTOGRAPHS USING DEEP LEARNING
Yi Zhen et al.
RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES (2020)
Diabetic Retinopathy Detection Using Prognosis of Microaneurysm and Early Diagnosis System for Non-Proliferative Diabetic Retinopathy Based on Deep Learning Algorithms
Lifeng Qiao et al.
IEEE ACCESS (2020)
Road Extraction by Deep Residual U-Net
Zhengxin Zhang et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Retinal Arteriolar Tortuosity and Cardiovascular Risk Factors in a Multi-Ethnic Population Study of 10-Year-Old Children; the Child Heart and Health Study in England (CHASE)
Christopher G. Owen et al.
ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY (2011)
Segmentations of MRI Images of the Female Pelvic Floor: A Study of Inter- and Intra-reader Reliability
Lennox Hoyte et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2011)
Automated segmentation of MR images of brain tumors
MR Kaus et al.
RADIOLOGY (2001)