Results 11 to 20 of about 13,618,665 (400)

Big data in visual field testing for glaucoma [PDF]

open access: yesTaiwan Journal of Ophthalmology
: 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

Lateralization of Color Discrimination Performance and Lexical Effects in Patients With Chronic Schizophrenia

open access: yesFrontiers in Human Neuroscience, 2021
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

open access: yesJournal of Vision, 2020
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

Segmented retinal analysis in pituitary adenoma with chiasmal compression: A prospective comparative study

open access: yesIndian Journal of Ophthalmology, 2021
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

open access: yesJournal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
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]

open access: yesComputer graphics forum (Print), 2021
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

COMP Report: CPQR technical quality control guidelines for use of positron emission tomography/computed tomography in radiation treatment planning

open access: yesJournal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
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]

open access: yes, 2020
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

open access: yesJournal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
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

The application of multiple metrics in deformable image registration for target volume delineation of breast tumor bed

open access: yesJournal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
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

Home - About - Disclaimer - Privacy