Faster breast MRI—AI unlocks one image per second and sharper tumor tracking

A group of researchers from the Technion and the United States reports a breakthrough in MRI scanning in a paper published in ...

New framework renders AI more trustworthy for cancer subtyping

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
GitHub

Reproduce ResNet-v2 using MXNet

Full imagenet dataset: fall11_whole.tar from http://www.image-net.org/download-images. We removed classes with less than 500 images. The filtered dataset contains ...
IEEE

Classification of Thyroid Ultrasound Standard Plane Images using ResNet-18 Networks

Abstract: The thyroid ultrasound standard plane (TUSP) classification is quite essential for the ultrasound diagnosis of thyroid disease. The traditional method relies entirely on the ultrasonography ...
Scientific Research Publishing

Diabetic Retinopathy Severity Classification Using Data Fusion and Ensemble Transfer Learning ()

Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...
Nature

A few-shot diabetes foot ulcer image classification method based on deep ResNet and transfer learning

Diabetes foot ulcer (DFU) is one of the common complications of diabetes patients, which may lead to infection, necrosis and even amputation. Therefore, early diagnosis, classification of severity and ...
Nature

Classification of melanoma skin Cancer based on Image Data Set using different neural networks

This paper aims to address the pressing issue of melanoma classification by leveraging advanced neural network models, specifically basic Convolutional Neural Networks (CNN), ResNet-18, and ...
Scientific Research Publishing

Image Classification Based on Vision Transformer ()

This research introduces an innovative approach to image classification, by making use of Vision Transformer (ViT) architecture. In fact, Vision Transformers (ViT) have emerged as a promising option ...
IEEE

Image classification method of bearing fault based on BOA optimization ResNet-18

Abstract: Aiming at some inefficient and difficult classification problems caused by the difficulty of determining parameters in data-driven bearing fault image classification, a bearing fault image ...
Frontiers

A deep learning method for foot-type classification using plantar pressure images

Background: Flat foot deformity is a prevalent and challenging condition often leading to various clinical complications. Accurate identification of abnormal foot types is essential for appropriate ...
GitHub

sigopt/stanford-car-classification

This repository runs hyperparameter optimization on tuning pretrained models from the PyTorch model zoo to classify images of cars in the Stanford Cars dataset. This repository offers the option to ...