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Detection of vertebral fractures in CT using 3D Convolutional Neural Networks
A dataset of 90 CT image series for training a 3D Convolutional Neural Network for vertebral fracture detection. -
Breast Ultrasound Video Diagnosis
The dataset is used for breast cancer diagnosis in ultrasound videos. -
Colon10K dataset
Colonoscopy videos dataset for 3D reconstruction of colon surface -
CT Colonography dataset
CT colonography dataset for colon surface reconstruction -
Colonoscopy videos dataset
Colonoscopy videos dataset for 3D reconstruction of colon surface -
One-shot Localization and Segmentation of Medical Images with Foundation Models
A variety of pre-trained ViT (DINO, DINOv2, SAM, CLIP) and SD models, trained exclusively on natural images, for solving the correspondence problems on medical images. -
RSNA 2019 Brain CT Hemorrhage Challenge dataset
The RSNA 2019 Brain CT Hemorrhage Challenge dataset is a dataset of CT scans of the brain used for hemorrhage detection and classification. -
ChestX-ray8
A hospital-scale chest X-ray database, namely “ChestX-ray8”, which comprises 108,948 frontal-view X-ray images of 32,717 unique patients with the text-mined eight common disease... -
Internal Head and Neck CT Dataset
Internal head and neck CT scans for normal organ segmentation -
Computational Anatomy Dataset
Head and neck CT scans for normal organ segmentation -
CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction
Lung nodule malignancy prediction has been enhanced by advanced deep-learning techniques and effective tricks. Nevertheless, current methods are mainly trained with... -
BraTS 2020: self-ensembled, deeply-supervised 3D U-Net CNNs
Brain tumor segmentation is a critical task for patient’s disease management. In order to automate and standardize this task, we trained multiple U-net like neural networks,... -
CAMELYON-17
CAMELYON-17 consists of 145 positive slides and 353 negative slides, where positive patches occupying less than 10% of the tissue area in positive slides. -
Liver Lesion Classification
Liver lesion dataset for classification using synthetic data augmentation -
ChestXray14
Chest radiography is one of the most ubiquitous diagnostic modalities for cardiothoracic and pulmonary abnormalities in the clinical setting. A timely diagnostic based on the... -
DeepRA: Predicting Joint Damage from Radiographs Using CNN with Attention
Joint damage in Rheumatoid Arthritis (RA) is assessed by manually inspecting and grading radio-graphs of hands and feet. This is a tedious task which requires trained experts... -
DR and AMD fundus image classification
The dataset used in this paper for retinal diseases classification, including diabetic retinopathy (DR) and age-related macular degeneration (AMD).
