Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Early detection of visual impairment in young children using a smartphone-based deep learning system

Creator:
WenRuiQinAnd
Publisher:
Spr
Host:

Visit

doi.org

Tasks

computer visionimage classification

Licenses

https://www.springernature.com/gp/researchers/text-and-data-mininghttps://www.springernature.com/gp/researchers/text-and-data-mining

Similar

A Deep Learning-Based Bengali Visual Commonsense Reasoning SystemEarly Detection of Tomato Leaf Diseases Using a Deep Learning Approach. A Field-Based Implementation in GhanaAutomated screening of sickle cells using a smartphone-based microscope and deep learningDeep Learning-Based Classification of Sorghum Pests for Early DetectionINTELLIGENT AERIAL SEEDING SYSTEM USING DEEP LEARNING AND ADAPTIVE VISUAL TRACKINGAMHARIC FAKE NEWS DETECTION USING TEXTUAL AND VISUAL INFORMATION: - DEEP LEARNING APPROACH

A Deep Learning-Based Bengali Visual Commonsense Reasoning System

Early Detection of Tomato Leaf Diseases Using a Deep Learning Approach. A Field-Based Implementation in Ghana

Automated screening of sickle cells using a smartphone-based microscope and deep learning

Sickle cell disease (SCD) is a major public health priority throughout much of the world, affecting

Deep Learning-Based Classification of Sorghum Pests for Early Detection

Cereals and legumes are staple foods across many African countries. Despite their nutritional and ec

INTELLIGENT AERIAL SEEDING SYSTEM USING DEEP LEARNING AND ADAPTIVE VISUAL TRACKING

Forestation in Sudan is hindered by desertification, harsh climate, and the remoteness of arid regio

AMHARIC FAKE NEWS DETECTION USING TEXTUAL AND VISUAL INFORMATION: - DEEP LEARNING APPROACH

AMHARIC FAKE NEWS DETECTION USING TEXTUAL AND VISUAL INFORMATION: - DEEP LEARNING APPROACH