Deep Convolutional Neural Networks Detect no Morphological Differences Between Culture-Positive and Culture-Negative Infectious Keratitis Images.

ABSTRACT:

Purpose

To determine whether convolutional neural networks can detect morphological differences between images of microbiologically positive and negative corneal ulcers.

Methods

A cross-sectional comparison of prospectively collected data consisting of bacterial and fungal cultures and smears from eyes with acute infectious keratitis at Aravind Eye Hospital. Two convolutional neural network architectures (DenseNet and MobileNet) were trained using images obtained from handheld cameras collected from culture-positive and negative images and smear-positive and -negative images. Each architecture was trained on two image sets: (1) one with labels assigned using only culture results and (2) one using culture and smear results. The outcome measure was area under the receiver oper

SUBMITTER: Kogachi K 

PROVIDER: S-EPMC9836011 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature