One of the cornerstones of processer vision is visual object recognition based on deep learning. Bounding boxes are also detected by these models, in addition to locating and classifying many items in ...

Key Takeaways Retinal images can classify metabolic syndrome, a risk factor for cardiovascular disease and diabetes, using a Vision Transformer-based model. Combining retinal images with clinical ...

Using an automated optical coherence tomography (OCT) segmentation algorithm to characterize and classify images from various inherited retinal disease (IRD) diagnostic classes, Pascal Escher, PhD, ...

Transfer Learning Approach to Classify the X-Ray Image that Corresponds to Corona Disease Using ResNet50 Pre-Trained by ChexNet ...

Bolhassani, M. (2024) Transfer Learning Approach to Classify the X-Ray Image that Corresponds to Corona Disease Using ResNet50 Pre-Trained by ChexNet. Journal of Intelligent Learning Systems and ...

1) Using standard U-Net architecture, the DRI-Net was presented to provide guidance for the accurate segmentation of polyps. 2) In DRI-Net, to make the network structure wider without gradient ...