AIMC Topic: Blindness
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A Model of Emergent Category-specific Activation in the Posterior Fusiform Gyrus of Sighted and Congenitally Blind Populations.
Journal of cognitive neuroscience
Jun 4, 2015
Theories about the neural bases of semantic knowledge tend between two poles, one proposing that distinct brain regions are innately dedicated to different conceptual domains and the other suggesting that all concepts are encoded within a single netw...
Artificial intelligence-powered smart vision glasses for the visually impaired.
Indian journal of ophthalmology
Jun 1, 2025
PURPOSE: In India, 4.80 million people are blind, and 4.69 million have severe visual impairment. Globally, the digital era and the advent of artificial intelligence devices offer solutions for daily challenges faced by the visually impaired, but the...
Advancing Toward a World Without Vision Loss From Diabetes: Insights From The Mary Tyler Moore Vision Initiative Symposium 2024 on Curing Vision Loss From Diabetes.
Translational vision science & technology
May 1, 2025
The Mary Tyler Moore Vision Initiative (MTM Vision) honors Mary Tyler Moore's commitment to ending vision loss from diabetes. Founded by Moore's husband, Dr. S. Robert Levine, MTM Vision aims to accelerate breakthroughs in diabetic retinal disease (D...
Using Transfer Learning to Refine Object Detection Models for Blind and Low Vision Users.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Object detection models available on smartphones such as YOLOv8 can potentially help identify and locate objects of interest to people who are blind or low vision (pBLV). However, current models may miss crucial objects for pBLV. Here, we compared 5 ...
Deep Learning-based Glaucoma Detection Using CNN and Digital Fundus Images: A Promising Approach for Precise Diagnosis.
Current medical imaging
Jan 1, 2024
BACKGROUND: Glaucoma is a significant cause of irreversible blindness worldwide, with symptoms often going undetected until the patient's visual field starts shrinking.
Japanese Braille Translation Using Deep Learning - Conversion from Phonetic Characters (Kana) to Homonymic Characters (Kanji).
Studies in health technology and informatics
Aug 23, 2023
A blind student writes and submits reports in Braille word processor, which is difficult for teachers to read. This study's purpose is to make a translator from Braille into mixed Kana-Kanji sentences for such teachers. Because Kanji has homonyms, it...
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 ...
Reducing Blindness Resulting from Retinopathy of Prematurity Using Deep Learning.
Ophthalmology
Jul 1, 2021
Commentary: Pediatric eye screening - Reaching the unreached.
Indian journal of ophthalmology
Feb 1, 2020
Real-time Pedestrian Crossing Recognition for Assistive Outdoor Navigation.
Studies in health technology and informatics
Jan 1, 2015
Navigation in urban environments can be difficult for people who are blind or visually impaired. In this project, we present a system and algorithms for recognizing pedestrian crossings in outdoor environments. Our goal is to provide navigation cues ...
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