Publications by authors named "Alejandra Herranz"
: To evaluate interobserver and intertest agreement between optical coherence tomography (OCT) and retinography in the detection of glaucoma through a telemedicine program. : A stratified sample of 4113 individuals was randomly selected, and those who accepted underwent examination including visual acuity, intraocular pressure (IOP), non-mydriatic retinography, and imaging using a portable OCT device. Participants' data and images were uploaded and assessed by 16 ophthalmologists on a deferred basis.
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- This study focuses on using Convolutional Neural Networks (CNNs) to detect glaucoma in color fundus images, showcasing the importance of factors like dataset size and architecture.
- The researchers compared CNN performance against human evaluators and examined how integrating patient history and images affected the results.
- The best results were achieved with a transfer learning approach using the VGG19 model, reaching an AUC of 0.94 and suggesting that this method could enhance glaucoma detection in large-scale screening initiatives.