Results 81 to 90 of about 474,030 (289)
Multi‐domain pseudo‐reference quality evaluation for infrared and visible image fusion
Infrared and visible image fusion involves merging the advantages of infrared and visible images to generate a composite image that encompasses thermal radiation as well as intricate texture details.
Xiangchao Meng +3 more
doaj +1 more source
Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer +11 more
wiley +1 more source
Deep Learning frameworks for Image Quality Assessment [PDF]
Technology is advancing by the arrival of deep learning and it finds huge application in image processing also. Deep learning itself sufficient to perform over all the statistical methods.
Channappayya, Sumohana, R, Aparna
core
Association Between Motor Pathway Damage and Motor Deficit in Upper and Lower Limb in People With MS
ABSTRACT Objective Corticospinal tract damage is common in people with MS, but the degree of clinical symptoms varies. We hypothesize that corticospinal tract lesions are more extensive and severe in people with MS with motor impairments in both upper and lower limbs.
Mathilde Liffran +13 more
wiley +1 more source
Image adjustment methods are one of the most widely used post-processing techniques for enhancing image quality and improving the visual preference of the human visual system (HVS). However, the assessment of the adjusted images has been mainly dependent
Jinseong Jang +4 more
doaj +1 more source
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +15 more
wiley +1 more source
Multiple Image Distortion DNN Modeling Individual Subject Quality Assessment
A recent research direction is focused on training Deep Neural Networks (DNNs) to replicate individual subject assessments of media quality. These DNNs are referred to as Artificial Intelligence-based Observers (AIOs). An AIO is designed to simulate, in real-time, the quality ratings of a specific individual, enabling an automatic quality assessment ...
Lohic Fotio Tiotsop +5 more
openaire +3 more sources
Pairwise Learning to Rank for Image Quality Assessment
Because the pairwise comparison is a natural and effective way to obtain subjective image quality scores, we propose an objective full-reference image quality assessment (FR-IQA) index based on pairwise learning to rank (PLR).
Yiqing Shi +4 more
doaj +1 more source
Objective We aimed to validate the Pediatric Arthritis Ultrasound Scoring System (PAUSS) for upper extremity joints in children with juvenile idiopathic arthritis (JIA). Methods Children with JIA were evaluated for elbow, wrist, or finger arthritis by clinical examination (CE) and musculoskeletal ultrasound (MSUS) with images scored according to the ...
Patricia Vega‐Fernandez +12 more
wiley +1 more source
Subjective and objective quality assessment of degraded document images
Abstract The huge amount of degraded documents stored in libraries and archives around the world needs automatic procedures of enhancement, classification, transliteration, etc. While high-quality images of these documents are in general easy to be captured, the amount of damage these documents contain before imaging is unknown.
Shahkolaei A. +3 more
openaire +3 more sources

