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segmentation

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In collaboration with Dr. Liang Zhan and the 2022 Hillman Academy. This study implements a Dense Dense U-Net, a convolutional neural network, to segment hand x-rays using K-Means clusters as ground truths. A Support Vector Regression model utilizes produced segmentations to predict bone age with greater speed, precision and accuracy as radiologists

  • Updated Jul 18, 2023
  • Jupyter Notebook

In this project I'm going to segment Tumor in MRI brain Images with a UNET which is based on Keras. The dataset is available online on Kaggle, and the algorithm provided 99% accuracy with a validation loss of 0.11 in just 10 epochs.

  • Updated Dec 15, 2021
  • Python

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