GitHub

kentaroy47/vision-transformers-cifar10

This is your go-to playground for training Vision Transformers (ViT) and its related models on CIFAR-10/CIFAR-100, a common benchmark dataset in computer vision. The whole codebase is implemented in ...
Frontiers

Early detection of brain pathologies through deep learning and advanced neuroimaging approaches

Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...
IEEE

Multi Fruit Classification and Grading Using Transfer Learning

Abstract: A unified AI-based approach in classification and grading for multiple fruits could effectively result in getting the quality of apples, bananas, and oranges, with a classification accuracy ...
IEEE

A Novel Multi-Branch Channel Expansion Network for Garbage Image Classification

Abstract: Due to the lack of data available for training, deep learning hardly performed well in the field of garbage image classification. We choose the TrashNet data set which is widely used in the ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

aMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada ...
GitHub

Food Classification with Deep Learning in Keras / Tensorflow

If you are reading this on GitHub, the demo looks like this. Please follow the link below to view the live demo on my blog. Convolutional Neural Networks (CNN), a technique within the broader Deep ...