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AiAiHealthcare / ProjectAiAi

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AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charita…

deep-learning tensorflow fda keras scikit-image dicom pytorch lung-cancer lung-cancer-detection charity convolutional-neural-networks radiology tuberculosis x-ray cxr-lungs ct-scans postero-anterior teleradiology radiologist
  • Updated Sep 20, 2020
  • Dockerfile
Machine-Learning-with-Scikit-Learn-Python-3.x

reddyprasade / Machine-Learning-with-Scikit-Learn-Python-3.x

Star 54

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised lea…

Python machine-learning reinforcement-learning vector scikit-learn sklearn machine-learning-algorithms scikit-image regression prediction consists supervised-learning classification semi-supervised-learning Python -3 unsupervised-learning scikit-model scikit-learn-api scikit-learn- Python
  • Updated Jun 16, 2021
  • Jupyter Notebook

aravindiiitb / Python -compare-images

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This repository is mainly about comparing two images. The technique used is SSIM. i.e. Structural Similarity Index Measure We use some of the inbuilt functions available in Python 's skimage library to measure the SSIM value. Along with SSIM we also measure the MSE ( Mean Square Error ) To know more about the SSIM technique Refer Here:https://en…

Python images image-processing scikit-image ssim
  • Updated Oct 16, 2017
  • Python

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