AIMC Topic: Atrophy
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Quantitative Assessment of Fundus Tessellated Density in Highly Myopic Glaucoma Using Deep Learning.
Translational vision science & technology
Apr 2, 2024
PURPOSE: To characterize the fundus tessellated density (FTD) in highly myopic glaucoma (HMG) and high myopia (HM) for discovering early signs and diagnostic markers.
Integration of graph network with kernel SVM and logistic regression for identification of biomarkers in SCA12 and its diagnosis.
Cerebral cortex (New York, N.Y. : 1991)
Apr 1, 2024
Spinocerebellar ataxia type 12 is a hereditary and neurodegenerative illness commonly found in India. However, there is no established noninvasive automatic diagnostic system for its diagnosis and identification of imaging biomarkers. This work propo...
Unsupervised Learning Based on Meibography Enables Subtyping of Dry Eye Disease and Reveals Ocular Surface Features.
Investigative ophthalmology & visual science
Oct 3, 2023
PURPOSE: This study aimed to establish an image-based classification that can reveal the clinical characteristics of patients with dry eye using unsupervised learning methods.
Fundus Tessellated Density Assessed by Deep Learning in Primary School Children.
Translational vision science & technology
Jun 1, 2023
PURPOSE: To explore associations of fundus tessellated density (FTD) and compare characteristics of different fundus tessellation (FT) distribution patterns, based on artificial intelligence technology using deep learning.
Voxel-based morphometry and a deep learning model for the diagnosis of early Alzheimer's disease based on cerebral gray matter changes.
Cerebral cortex (New York, N.Y. : 1991)
Jan 5, 2023
This study aimed to analyse cerebral grey matter changes in mild cognitive impairment (MCI) using voxel-based morphometry and to diagnose early Alzheimer's disease using deep learning methods based on convolutional neural networks (CNNs) evaluating t...
VALIDATION OF A DEEP LEARNING-BASED ALGORITHM FOR SEGMENTATION OF THE ELLIPSOID ZONE ON OPTICAL COHERENCE TOMOGRAPHY IMAGES OF AN USH2A-RELATED RETINAL DEGENERATION CLINICAL TRIAL.
Retina (Philadelphia, Pa.)
Jul 1, 2022
PURPOSE: To assess the generalizability of a deep learning-based algorithm to segment the ellipsoid zone (EZ).
Peripapillary Atrophy Segmentation and Classification Methodologies for Glaucoma Image Detection: A Review.
Current medical imaging
Jan 1, 2022
Information-based image processing and computer vision methods are utilized in several healthcare organizations to diagnose diseases. The irregularities in the visual system are identified over fundus images with a fundus camera. Among ophthalmology ...
Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.
Brain : a journal of neurology
Mar 1, 2020
Neurobiological heterogeneity in schizophrenia is poorly understood and confounds current analyses. We investigated neuroanatomical subtypes in a multi-institutional multi-ethnic cohort, using novel semi-supervised machine learning methods designed t...
[Use AI for Dementia Diagnosis].
Brain and nerve = Shinkei kenkyu no shinpo
Jul 1, 2019
Using AI for dementia diagnosis is still in research stage, however some of the work points to the development of new medical devices. One is a voxel-based morphometry analysis of brain atrophy, and a brain network analysis using a resting state func...
Alzheimer's Disease Classification Based on Multi-feature Fusion.
Current medical imaging reviews
Jan 1, 2019
BACKGROUND: In this study, we investigated the fusion of texture and morphometric features as a possible diagnostic biomarker for Alzheimer's Disease (AD).
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