Loading...
Loading...
Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,084 datasets
TCGA-OV-WSI is a dataset of whole slide images (WSI) for ovarian cancer, sourced from The Cancer Genome Atlas (TCGA) program. The dataset is hosted on Kaggle, but its specific scale, collection date, and detailed provenance are not provided in the available metadata. The content likely contains high-resolution pathology slides for ovarian cancer cases.
ECG_timeseries is a dataset of electrocardiogram time-series signals, published on Kaggle. The dataset likely contains sequential voltage measurements recorded from the heart. Specific details on the number of records, collection methodology, and source are not provided in the available metadata.
OCT images likely categorized as normal or diseased. The dataset is hosted on Kaggle, but its size, source, and creation date are unknown. Columns and sample data are unavailable.
KOKAO v14 is a dataset published on Kaggle, claiming 100% accuracy on tasks related to electrocardiogram (ECG) and semiconductor wafer data. The dataset's specific contents, size, and origin are not detailed in the available metadata. Its primary focus appears to be on signal or anomaly detection within medical and industrial manufacturing domains.
Kaggle hosts a dataset titled 'Disease Prediction Symptoms Dataset'. The dataset's specific size, origin, and temporal coverage are not provided in the available metadata. Its content likely contains features for associating symptoms with potential medical conditions.
Kaggle hosts an ECG-Corpus dataset. The dataset likely contains electrocardiogram (ECG) signal recordings. The author, organization, and specific collection details are unknown.
Skull fracture CT scans is a dataset hosted on Kaggle. The dataset likely contains medical imaging data related to cranial trauma. The specific number of images, source institution, and time range are unknown.
Bilingual medical prescriptions is a dataset hosted on Kaggle. The dataset likely contains prescription text in both Arabic and English languages. The specific volume, source, and creation date are unknown.
Kaggle hosts a dataset of images related to maize (corn) diseases. The dataset's specific size, collection method, and origin are not detailed in the provided metadata. Further details about the image annotations, class distribution, and collection period require verification after accessing the dataset files.
A collection of medical books sourced from Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Users must download the dataset to verify its scope and composition.
A dataset of 6000 samples related to heart disease, sourced from Kaggle. The specific features, collection method, and origin are not detailed in the provided metadata. Further inspection of the data files is required to confirm the exact variables and their clinical relevance.
A Kaggle-hosted dataset of cucumber leaf images likely intended for plant disease classification. The dataset's specific scale, collection method, and time range are not detailed in the provided metadata. Further verification of the image content and annotations is required after download.
Fundus images are photographs of the interior surface of the eye, including the retina and optic disc. This dataset likely contains enhanced versions of these images, potentially for improved analysis. The dataset is hosted on Kaggle, but its specific origin, size, and creation details are unknown.
Clinical Disease is a dataset hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Further inspection after download is required to confirm its scope and structure.
A Kaggle-hosted subset of the Digital Database for Screening Mammography (DDSM). The dataset appears to contain mammogram images related to breast cancer, split according to patient-level identifiers to prevent data leakage. The original DDSM is a widely used resource for developing computer-aided diagnosis systems.
MIMIC-IV likely refers to the Medical Information Mart for Intensive Care database, a widely-used clinical dataset. The title suggests this dataset combines MIMIC-IV data with chest X-ray (CXR) images. The dataset is hosted on Kaggle, but its specific size, scope, and creation details are unknown.
Disease-features is a dataset hosted on Kaggle, a popular platform for data science competitions and projects. Its title suggests it contains variables or characteristics related to one or more diseases. The dataset's specific content, size, and origin are not detailed in the available metadata.
X-rayy is a dataset of medical X-ray images published on Kaggle. The dataset's content, size, and provenance are unknown from the provided metadata. Users must download the dataset to verify its specific contents and scope.
A dataset for classifying diseases in cassava leaves, sourced from Kaggle. The specific number of images, collection method, and time range are not provided in the available metadata. It is intended for developing machine learning models to identify plant health issues.
A collection of chest X-ray images, likely associated with the Indiana University network. The dataset is hosted on Kaggle, but its exact size, collection date, and specific origin are not detailed in the provided metadata. Further details about the image annotations, resolution, or patient demographics require verification after download.