Datasets:
Tasks:
Image Classification
Size Categories:
10K<n<100K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
License:
Commit
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### Dataset Summary
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This dataset contains images of individual muscle fiber used to train [MyoQuant](https://github.com/lambda-science/MyoQuant) SDH Model. The goal of these data is to train a tool to classify SDH stained muscle fibers depending on the presence of mitochondria repartition anomalies. A pathological feature useful for diagnosis and classification in patient with congenital myopathies.
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## Dataset Structure
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### Dataset Summary
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<p align="center">
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<img src="https://i.imgur.com/mzALgZL.png" alt="MyoQuant Banner" style="border-radius: 25px;" />
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</p>
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This dataset contains images of individual muscle fiber used to train [MyoQuant](https://github.com/lambda-science/MyoQuant) SDH Model. The goal of these data is to train a tool to classify SDH stained muscle fibers depending on the presence of mitochondria repartition anomalies. A pathological feature useful for diagnosis and classification in patient with congenital myopathies.
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## Dataset Structure
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