Datasets / Use Cases
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This dataset includes only mpMRI images of the prostate gland, without clinical data accompanying them.
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This dataset contains imaging and clinical data from patients with and without prostate cancer, used to develop AI models for accurate detection of clinically significant prostate cancer in both peripheral and transitional zones.
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A dataset focused on classifying prostate cancer based on biological aggressiveness, supporting AI-driven stratification of patients into clinically significant and non-significant disease for informed treatment decisions.
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A collection of patients with confirmed PCa at biopsy and/or prostatectomy and with metastasis within 6 months from MRI.
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A clinical dataset of patients who underwent radical prostatectomy, with and without biochemical recurrence, including imaging data, radiomic features, clinical variables, and post-surgical findings for developing AI models to predict recurrence risk.
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This dataset includes a collection of patients who underwent radiation therapy, with/without biochemical relapse and with post-treatment (toxicity) data.
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A dataset of prostate cancer patients treated with radiation therapy or prostatectomy, including post-treatment toxicity and quality of life data, to support prediction of therapy-induced side effects and inform personalized treatment planning.
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A dataset combining MRI lesion phenotypes, longitudinal imaging, biopsy data, and PSA values to support AI-driven stratification and monitoring of prostate cancer patients enrolled in Active Surveillance programs.
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A comprehensive dataset integrating diagnostic, stratification, and outcome data from previous use cases to support an AI-powered decision support system for optimizing prostate cancer treatment while minimizing side effects and maximizing quality of life.
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