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This repository has been archived by the owner on Nov 25, 2021. It is now read-only.

Repository processes CT scanned images of human Lungs , which are in DICOM image format. Visualises the data in 3D and trains a 3D convolution network on the data after preprocessing.

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Ankita18Mandal/LungCT_Diagnosis

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LungCT_Diagnosis

Repository processes CT scanned images of human Lungs , which are in DICOM image format. Visualises the data in 3D and trains a 3D convolution network on the data after preprocessing.

Data Acquisition

Google Colab Link

The link for the google colaboratory of dicom visualisation is written is given below: Open In Colab(https://colab.research.google.com/drive/1y8qnK2JD8CHo90o8hpXzM1QCcoTA8vlG?usp=sharing]

The link for the google colaboratory where the entire code is written is given below: Open In Colab(https://colab.research.google.com/drive/1XAHBUBxucVsyv5DiiA5d3-gll-WrO3Za?usp=sharing]

The CT scanned image of a lung-

IMG-0001-00043

Frequency vs HU units and the corresponding .dcm image

download (4) IMG-0001-00011

3D images of dicom files: Segmented and rendered

download download (2) download (3)

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Repository processes CT scanned images of human Lungs , which are in DICOM image format. Visualises the data in 3D and trains a 3D convolution network on the data after preprocessing.

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