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Field II dataset
The dataset used for training and validation of the proposed method for ultrasound image reconstruction. -
Lung Lesion Dataset
The lung lesion dataset is a collection of clinical and imaging reports used for training and evaluation of lung lesion clinical data extraction models. -
An overview of deep learning in medical imaging focusing on MRI
The IXI dataset is a collection of brain development images -
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... -
Brain CT images synthesized from brain MR images using unpaired data
Brain MR and CT images of 24 patients that were scanned for radiotherapy treatment planning of brain tumors. -
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... -
RAMM: Retrieval-augmented Biomedical Visual Question Answering
A retrieval-augmented pretrain-and-finetune paradigm for biomedical VQA which includes a high-quality image-text pairs PMCPM, a pre-trained multi-modal model, and a novel... -
Pancreas Tumors dataset
The dataset contains 282 cases with both pancreatic tumors and normal pancreas annotations. -
COVID-CT-Dataset: a CT scan dataset about COVID-19
A CT scan dataset about COVID-19 -
COVID-VIT: Classification of Covid-19 from CT chest images based on vision tr...
COVID-19 classification from CT chest images based on vision transformer models -
Dgdi: A dataset for detecting glomeruli on renal direct immunofluorescence
The dataset used in this paper for renal image analysis, specifically for glomerulus detection. -
ISIC 2019 and Pediatric Bone Age datasets
The ISIC 2019 dataset is a collection of images of skin lesions, and the Pediatric Bone Age dataset is a collection of hand radiographs. -
MosMedData
The dataset contains medical CT images of lungs affected by COVID-19 disease and high-resolution synchrotron-based full-body CT of model organisms (Medaka fish). -
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). -
Haukeland dataset
The dataset used for testing the proposed CNN model, containing 18 patients with 8-11 CT scans each. -
LUMC dataset
The dataset used for training and testing the baseline CNN model, containing 379 patients with one CT scan each. -
CHAOS - Combined (CT-MR) Healthy Abdominal Organ Segmentation Challenge
A dataset for liver segmentation, including CT volumes and corresponding annotations. -
Kidney Tumor Segmentation Challenge (KiTS)
A dataset for kidney tumor segmentation, including CT volumes and corresponding annotations.
