Automated Retinal Disease Detection: VGG16-Based Deep Learning Approach for OCT Image Classification
Abstract: This study aims to develop a robust deep learning model using the VGG16 architecture to accurately classify Retinal OCT images into four categories: CNV, DME, DRUSEN, and NORMAL. The dataset ...
Abstract: Automated blood cell classification is crucial for hematological analysis, yet the scarcity of annotated medical datasets challenges deep learning models. This study presents a novel ...
Images posted to social media Thursday show what experts said are U.S. land mines dispersed across a residential area in southern Iran, in what appears to be the first instance in more than two ...
New York City’s public school system on Tuesday is set to release highly anticipated guidance on artificial intelligence in the classroom, Chancellor Kamar Samuels said during a City Council hearing ...
Predict whether a pet image belongs to the cat or dog class.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results