700 datasets found

Groups: Medical Imaging Formats: JSON

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  • TCGA Lung Cancer

    The Cancer Genome Atlas (TCGA) Lung Cancer dataset comprises two cancer subtypes: Lung Adenocarcinoma (LUAD) and Lung Squamous Cell Carcinoma (LUSC). It includes diagnostic...

  • MIMIC

    MIMIC is a public dataset that describes clinical information of patients admitted to an Intensive Care Unit at the Beth Israel Deaconess Medical Center in Boston, Massachusetts...

  • Breast Cancer Dataset

    Breast cancer dataset where mammograms have been labeled independently by three doctors. Ground-truth has been obtained through a biopsy, not available to the algorithm nor the...

  • COVID-19 Detection Using CT Image Based On YOLOv5 Network

    The dataset provided by Kaggle platform for COVID-19 abnormality detection and classification

  • IVUS dataset

    The dataset used in this paper for segmentation of arterial walls in intravascular ultrasound cross-sectional images.

  • MultiStain-CycleGAN dataset

    The dataset used in this paper consists of whole slide images from five different medical centers, digitized with three different scanners.

  • CAMELYON 17 Challenge dataset

    The CAMELYON 17 Challenge dataset consists of whole slide images originating from five different medical centers, digitized with three different scanners.

  • SARS-COV-2 CT-Scan dataset

    The SARS-COV-2 CT-Scan dataset contains 2482 CT scans in total, where 1252 CT scans are positive for SARS-CoV-2 infection (COVID-19) and 1230 CT scans are from patients that are...

  • Brain Tumor Image Dataset

    The Brain Tumor Image Dataset contains 3064 T1-weighted contrast-enhanced images from 233 patients with three kinds of brain tumors: meningioma, glioma, and pituitary tumor.

  • Convolutional-LSTM for Multi-Image to Single Output Medical Prediction

    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.

  • ETH3D

    ETH3D is a small real-world grayscale dataset with both indoor and outdoor scenes. It contains 27 labeled stereo image pairs for training and 20 stereo pairs for testing.

  • 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.

  • Indian-COVID-19 CT dataset

    A curated dataset of CT scan images of COVID-19 from India, used for training and testing machine learning models.

  • ODIR-5K

    A structured ophthalmic dataset of 5,000 patients with multi-label image-level annotations for eight eye disease categories.

  • Kaggle-APTOS2019

    A public diabetic retinopathy dataset containing 5,590 images with image-level grading labels.

  • Kaggle-EyePACS

    A public diabetic retinopathy dataset containing 88,702 images with image-level grading labels.

  • SCARED

    SCARED is one of the MICCAI 2019 challenges, and provided a training set acquired from 7 pigs. Each pig corresponds to 5 videos recorded by a binocular camera from 5 different...

  • KiPA22

    Abdominal organ segmentation from medical imaging is a topic that has been researched for several years. The dataset was acquired by Siemens dual-source 64-slice CT scanner and...

  • Pediatric MR Images

    Pediatric MR images of 350 patients acquired on a 3T MRI scanner.

  • Multimodal Brain Tumor Segmentation Challenge 2020

    The Multimodal Brain Tumor Segmentation Challenge 2020 dataset was used as our primary dataset for brain tumor classification and segmentation.