78 datasets found

The ALARM method is a fully automated liver attenuation estimation method that combines deep convolutional neural network (DCNN) and morphological operations.

MRI images of knee joint for cartilage defect diagnosis

The dataset used for lung cancer diagnostic task

The MIMIC and CheXpert datasets are used to analyze and remove protected feature effects in chest radiograph embeddings of deep learning models.

The dataset used in this paper for COVID-19 diagnosis from community acquired pneumonia (CAP) in chest computed tomography (CT) images.

Deep learning-based dataset for computer-aided detection of medical images

Focal cortical dysplasia (FCD) dataset for automatic detection of FCD on magnetic resonance images (MRI)

A large-scale CT-derived µ-map dataset for training and evaluation of low-count PET attenuation map generation

A population-prior generation machine for generating population prior information for low-count PET attenuation map generation

The proposed model uses two publicly available annotated COVID-19 CT image datasets: COVID-19 CT provided by Zhao et al. (Zhao et al., 2020) and a dataset provided by the...

MRI thigh muscle segmentation dataset

A public dataset, available in NifTi format, for automatic liver segmentation.

The dataset used in this study for COVID-19 detection, containing laboratory parameters and chest x-ray images.

Elbow fracture diagnosis from X-ray images using medical knowledge-guided deep curriculum learning

A dataset of studies tagged slice-wise by radiologists for training a deep learning algorithm for detection of hemorrhage in CT scans.

A dataset of 40k studies assembled for training a 3D convolution neural network for CT brain hemorrhage classification.

BloodNet is a deep learning architecture designed for optimal triaging of Head CTs, with the goal of decreasing the time from CT acquisition to accurate ICH detection.

Medical head CT-scan imaging has been successfully combined with deep learning for medical diagnostics of head diseases and lesions. A custom dataset was used for this study.

The COVOC dataset is used to evaluate the performance of the Lung Swapping Autoencoder (LSAE) model on COVID-19 outcome prediction. The dataset consists of 340 CXRs from 327...

A dataset of optical coherence tomography scans showing four different retinal conditions.