
This dataset comprises 38 CT scans of the spine with identified and segmented metastatic lesions, focusing on two types of metastases: lytic and sclerotic. The dataset was used in the research article, "Artificial Intelligence Assisted Detection and Localization of Spinal Metastases." Each CT scan includes detailed metadata, such as: Type of Metastasis: Classified as either lytic or sclerotic. Primary Site of Metastasis: The original location of the cancer that metastasized to the spine, including sites such as melanoma, lungs, ovary, breast, prostate, kidney, blader, large intestine, multiple myeloma, stomach. Sex: Patient gender (male or female). This dataset was collected for research purposes and can serve as a valuable resource for further studies in oncology, radiology, and artificial intelligence-assisted diagnostics. The dataset is anonymized to ensure patient confidentiality. Edelmers, E.; Ņikuļins, A.; Sprūdža, K.L.; Stapulone, P.; Pūce, N.S.; Skrebele, E.; Siņicina, E.E.; Cīrule, V.; Kazuša, A.; Boločko, K. AI-Assisted Detection and Localization of Spinal Metastatic Lesions. Diagnostics 2024, 14, 2458. https://doi.org/10.3390/diagnostics14212458
AI, oncology, lytic metastases, ML, radiology, sclerotic metastases, CT
AI, oncology, lytic metastases, ML, radiology, sclerotic metastases, CT
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