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README.md
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It consists of real-world MRI data where radiological reports indicate the presence of diseases, abnormalities, or pathological conditions. These findings may include tumors, lesions, infections, degenerative changes, or other clinically significant observations.
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The dataset captures authentic imaging characteristics such as scanner variability, acquisition protocols, and patient positioning, along with detailed clinical narratives. This makes it highly valuable for building accurate, scalable, and production-ready AI systems for medical diagnosis and imaging analysis.
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Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT)
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**Dataset Specification**
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**Considerations**
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This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website [InfoBay
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-Ph: (91) 8303174762
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-Email: datareq@infobay.ai
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It consists of real-world MRI data where radiological reports indicate the presence of diseases, abnormalities, or pathological conditions. These findings may include tumors, lesions, infections, degenerative changes, or other clinically significant observations.
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| 9 |
The dataset captures authentic imaging characteristics such as scanner variability, acquisition protocols, and patient positioning, along with detailed clinical narratives. This makes it highly valuable for building accurate, scalable, and production-ready AI systems for medical diagnosis and imaging analysis.
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Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) workflows.
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**Dataset Specification**
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**Considerations**
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This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website [InfoBay.AI](https://infobay.ai/) or contact us directly.
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-Ph: (91) 8303174762
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-Email: datareq@infobay.ai
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