asvcode/MedicalImaging

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Jupyter Notebook
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Apache License 2.0
Created over 4 years ago
Updated over 1 year ago

asvcode/MedicalImaging

asvcode

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Tutorials that take an in depth look at how to view and manipulate DICOM images and how to get them ready for machine learning

Vision_UI

UI visual interface for fastai - now compatible with Google Colab

fastai_resources

Fastai resources

Jupyter Notebook

fmi

Additional functionality for use with fastai’s medical imaging module

Jupyter Notebook

1_cycle

A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith

Jupyter Notebook

Colab_UI

UI interface based on Vision_UI using fastai compatible with Google Colab

NIH_Pill_Recognition

Testing ground for improving prescription medication recognition with minimal data

Jupyter Notebook

Pill_ID

Insight AI project

State-Drug-Utilization-Data

Publication of these drug utilization data sets have been available since the start of the Medicaid Drug Rebate Program, where states report drug utilization for covered outpatient drugs paid for by state Medicaid agencies.

Jupyter Notebook

fast_gui

https://asvcode.github.io/fast_gui/

Jupyter Notebook

LayerVisualizations

Visualizing feature maps, activations and gradients

Jupyter Notebook

fastgui

An easy way to visualize fastai datasets and augmentations using viola and binder

Jupyter Notebook

Build-a-game-playing-agent

This project consists of developing an adversarial search agent to play the game "Isolation"

medical_imaging

Reviewing fastai medical imaging