Wavelength-multiplexed diffractive optical storage enables massively parallel image retrieval

The explosive growth of data generated by artificial intelligence, cloud computing and modern digital infrastructure is ...
Scientific Research Publishing

Deep Learning-Based Multi-Class Classification of Retinal Diseases from OCT Images Using Transfer Learning ()

1 Amazon Web Services, Seattle, USA. 2 Rajiv Gandhi University of Knowledge Technologies, Nuzvid, India. Optical Coherence Tomography (OCT) is a non-invasive imaging modality widely employed for ...
IEEE

Multi-Class Brain Lesion Classification Using Deep Transfer Learning With MobileNetV3

Abstract: Diagnosing brain tumors is challenging for radiologists because of the significant similarities between the tumor types. Deep learning models lack sufficient data to effectively learn the ...
Frontiers

Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images

Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...
Frontiers

Automatic classification of ligneous leaf diseases via hierarchical vision transformer and transfer learning

Identification of leaf diseases plays an important role in the growing process of different types of plants. Current studies focusing on the detection and categorization of leaf diseases have achieved ...
GitHub

aristotelisballas/listen2yourheart

This is the official code for the "Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning", accepted in IEEE Access.
GitHub

ESC-50: Dataset for Environmental Sound Classification

The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...