Results 11 to 20 of about 13,618,665 (400)
Big data in visual field testing for glaucoma [PDF]
: Recent technological advancements and the advent of ever-growing databases in health care have fueled the emergence of “big data” analytics. Big data has the potential to revolutionize health care, particularly ophthalmology, given the data-intensive ...
Alex T. Pham+2 more
doaj +2 more sources
Introduction: Patients with schizophrenia experience various visual disturbances. However, information regarding color perception in these patients is rare. In this study, we used a lateralized color search task to investigate whether difference in color
Tomohiro Kogata+2 more
doaj +1 more source
Asymmetries in visual acuity around the visual field
Human vision is heterogeneous around the visual field. At a fixed eccentricity, performance is better along the horizontal than the vertical meridian and along the lower than the upper vertical meridian.
A. Barbot, Shutian Xue, M. Carrasco
semanticscholar +1 more source
Purpose: The aim of this study was to determine the alteration in ganglion cell complex and its relationship with retinal nerve fiber layer (RNFL) thickness as measured by spectral-domain optical coherence tomography (OCT) in pituitary adenoma cases and ...
Rachna Agarwal+6 more
doaj +1 more source
Semi‐supervised classification of fundus images combined with CNN and GCN
Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan+8 more
wiley +1 more source
Neural Fields in Visual Computing and Beyond [PDF]
Recent advances in machine learning have led to increased interest in solving visual computing problems using methods that employ coordinate‐based neural networks.
Yiheng Xie+9 more
semanticscholar +1 more source
Abstract Positron emission tomography with x‐ray computed tomography (PET/CT) is increasingly being utilized for radiation treatment planning (RTP). Accurate delivery of RT therefore depends on quality PET/CT data. This study covers quality control (QC) procedures required for PET/CT for diagnostic imaging and incremental QC required for RTP.
Ran Klein+7 more
wiley +1 more source
A visual search asymmetry for novelty in the visual field based on sensory adaptation [PDF]
The ability to detect sudden changes in the environment is important for survival. However, studies of “change blindness” have shown that image differences are hard to detect when a time delay or a mask is imposed between the different images.
Morgan, M. J., Solomon, J. A.
core +1 more source
Uniqueness of radiomic features in non‐small cell lung cancer
Abstract Purpose The uniqueness of radiomic features, combined with their reproducibility, determines the reliability of radiomic studies. This study is to test the hypothesis that radiomic features extracted from a defined region of interest (ROI) are unique to the underlying structure (e.g., tumor). Approach Two cohorts of non‐small cell lung cancer (
Gary Ge, Jie Zhang
wiley +1 more source
Abstract Background and purpose For postoperative breast cancer patients, deformable image registration (DIR) is challenged due to the large deformations and non‐correspondence caused by tumor resection and clip insertion. To deal with it, three metrics (fiducial‐, region‐, and intensity‐based) were jointly used in DIR algorithm for improved accuracy ...
Xin Xie+6 more
wiley +1 more source