相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups (vol 29, pg 1211, 2019)
En-Hong Zhuo et al.
EUROPEAN RADIOLOGY (2019)
Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA
Quan Zou et al.
RNA (2019)
BASNet: Boundary-Aware Salient Object Detection
Xuebin Qin et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
Artery/vein classification using reflection features in retina fundus images
Fan Huang et al.
MACHINE VISION AND APPLICATIONS (2018)
A Graph Cut Approach to Artery/Vein Classification in Ultra-Widefield Scanning Laser Ophthalmoscopy
Enrico Pellegrini et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Automatic 2-D/3-D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter
Yitian Zhao et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)
Risk-Predicting Model for Incident of Essential Hypertension Based on Environmental and Genetic Factors with Support Vector Machine
Zhiyong Pei et al.
INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES (2018)
Road Structure Refined CNN for Road Extraction in Aerial Image
Yanan Wei et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort
R. A. Welikala et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2017)
An improved arteriovenous classification method for the early diagnostics of various diseases in retinal image
Xiayu Xu et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2017)
An Automatic Graph-Based Approach for Artery/Vein Classification in Retinal Images
Behdad Dashtbozorg et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2014)
A New Iterative Triclass Thresholding Technique in Image Segmentation
Hongmin Cai et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2014)
Automated characterization of blood vessels as arteries and veins in retinal images
Qazaleh Mirsharif et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2013)
Retinal vascular biomarkers for early detection and monitoring of Alzheimer's disease
S. Frost et al.
TRANSLATIONAL PSYCHIATRY (2013)
Automated Measurement of the Arteriolar-to-Venular Width Ratio in Digital Color Fundus Photographs
Meindert Niemeijer et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2011)
Retinal Vascular Tortuosity, Blood Pressure, and Cardiovascular Risk Factors
Carol Yim-lui Cheung et al.
OPHTHALMOLOGY (2011)
Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
Amir Beck et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2009)
Separation of the retinal vascular graph in arteries and veins based upon structural knowledge
Kai Rothaus et al.
IMAGE AND VISION COMPUTING (2009)
Are inflammatory factors related to retinal vessel caliber? The Beaver Dam Eye Study
R Klein et al.
ARCHIVES OF OPHTHALMOLOGY (2006)
Image quality assessment: From error visibility to structural similarity
Z Wang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)