Medical Imaging - Longitudinal CT scans
Start training, fine tuning or testing your Medical analysis files with 6,000 longitudinal baseline and follow-up CT scan studies in DICOM format and corresponding reports. This dataset is particularly of interest to those who are looking for studies for any of the following cancer types: liver, lung, pancreas, kidney, prostate, and brain. The studies feature approximately 2,000 unique patients, with an average of three studies per patient.
Start training, fine tuning or testing your Medical analysis files with 6,000 longitudinal baseline and follow-up CT scan studies in DICOM format and corresponding reports. This dataset is particularly of interest to those who are looking for studies for any of the following cancer types: liver, lung, pancreas, kidney, prostate, and brain. The studies feature approximately 2,000 unique patients, with an average of three studies per patient.
Start training, fine tuning or testing your Medical analysis files with 6,000 longitudinal baseline and follow-up CT scan studies in DICOM format and corresponding reports. This dataset is particularly of interest to those who are looking for studies for any of the following cancer types: liver, lung, pancreas, kidney, prostate, and brain. The studies feature approximately 2,000 unique patients, with an average of three studies per patient.
Start training, fine tuning or testing your Medical analysis files with 6,000 longitudinal baseline and follow-up CT scan studies in DICOM format and corresponding reports. This dataset is particularly of interest to those who are looking for studies for any of the following cancer types: liver, lung, pancreas, kidney, prostate, and brain. The studies feature approximately 2,000 unique patients, with an average of three studies per patient.
Dataset specs
Type
Image
Amount
6K
Leverage
Utilize a wide array of diagnostic images for real-time identification and diagnosis, enriching AI models with the capability to support clinicians in making informed decisions.
Use cases
Train AI models to identify, delineate and classify relevant structures within medical images to support analysis and clinical workflows.
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Dataset specs
Type
Image
Amount
6K