Anomaly Detection in Red Reflex Images Using Deep Learning Approaches

EasyChair Preprint 9244

6 pages•Date: November 4, 2022

Setnipat Kriangsakdachai, Srisupa Palakvangsa Na Ayudhya, Worapan Kusakunniran, Wongchanok Devakula Na Ayudhya, Chayapon Chantrasagul, Rungsimun Manasboonpermpool, Kanchalika Sathianvichitr, Prapasson Sangsre and Thammanoon Surachatkumtonekul

Abstract

Amblyopia is a noteworthy disease in children leading to visual loss. This work focuses on creating a deep learning model for the detection of Amblyopia factors in patients wearing masks under the COVID-19 pandemic.

Keyphrases: Amblyopia, Convolutional Neural Network, MTCNN, Mask R-CNN, Red reflex, deep learning

Links:

https://easychair.org/publications/preprint/4Ll5

BibTeX entry

BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:

@booklet{EasyChair:9244,
  author    = {Setnipat Kriangsakdachai and Srisupa Palakvangsa Na Ayudhya and Worapan Kusakunniran and Wongchanok Devakula Na Ayudhya and Chayapon Chantrasagul and Rungsimun Manasboonpermpool and Kanchalika Sathianvichitr and Prapasson Sangsre and Thammanoon Surachatkumtonekul},
  title     = {Anomaly Detection in Red Reflex Images Using Deep Learning Approaches},
  howpublished = {EasyChair Preprint 9244},
  year      = {EasyChair, 2022}}

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