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  This Vision Transformer model is a fine-tuned version of Google's "vit-large-patch16-224" model.
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- This model has been fine-tuned with a custom dataset for academic studies.
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- The aim of the research is to develop a model that achieves high consistency with a limited amount of data. The study uses a dataset consisting of breast cancer images of varying resolutions.
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  The dataset contains 780 MRI images with a total of 3 classes (benign, malignant, normal), separated into train and test.
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  This Vision Transformer model is a fine-tuned version of Google's "vit-large-patch16-224" model.
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+ This model has been fine-tuned with a custom dataset as a capstone project for academic studies.
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+ The aim of the project is to develop a model that achieves high consistency with a limited amount of data. The study uses a dataset consisting of breast cancer images of varying resolutions.
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  The dataset contains 780 MRI images with a total of 3 classes (benign, malignant, normal), separated into train and test.
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