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Detection and Classification of Glioblastoma Brain Tumor
Glioblastoma brain tumor detection and segmentation using preprocessed brain MRI images -
Target Dataset
The target dataset is a 79 chip target dataset built using the optical imagery generated by Theia, the MRC satellite optical camera. -
Lightweight Vision Transformer for US Segmentation
Lightweight vision transformer for US segmentation. -
Deep neural networks for fast segmentation of 3d medical images
Deep neural networks for fast segmentation of 3d medical images -
DeepGrowth: A Deep Learning Model for Vestibular Schwannoma Growth Prediction
Vestibular schwannoma growth prediction from longitudinal MRI by time-conditioned neural fields -
CT-GAN Attack Dataset
A dataset of 70 tampered and 30 authentic CT scans for evaluation of CT-GAN attack -
Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning
A deep learning-based computer-aided detection (CADe) method to detect breast lesions in ultrafast DCE-MRI sequences. -
COVIDx dataset
The COVIDx dataset is a combination of many publicly available datasets for COVID-19 image classification. -
BIMCV-COVID19 Dataset
BIMCV-COVID19 Dataset -
GraphXCOVID
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays -
COVID-19 Detection from X-ray Images
The dataset for COVID-19 detection from X-ray images of the chest. -
Validation and Testing Datasets
A validation dataset and a testing dataset were created using the remaining image volumes from 70 subjects. -
Training Dataset
The training dataset is a collection of the publicly available Arabic corpora listed below: The unshuffled OSCAR corpus (Ortiz Su´arez et al., 2020). The Arabic Wikipedia dump... -
MB-DECTNet: A Model-Based Unrolled Network for Accurate 3D DECT Reconstruction
The dataset used in the paper is a set of dual-energy CT sinograms and reconstructed images. -
COVID-19 Segmentation from CT Images
The dataset used for COVID-19 segmentation from CT images, using deep learning and imaging for delineating COVID-19 infection in lungs. -
NIH CXR database for lung segmentation
NIH CXR database for lung segmentation, including CXR images with severe abnormal findings. -
Montgomery database for lung segmentation
Montgomery database for lung segmentation, including CXR images with small- or medium-sized abnormal findings. -
JSRT database for lung segmentation
JSRT database for lung segmentation, including CXR images with small- or medium-sized abnormal findings. -
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking
A placental vessel segmentation dataset for fetoscopic mosaicking, consisting of 483 manually annotated images and 6 in vivo video clips.
