Biomedical Image Analysis
Explanation
This project was created to study and analyse biomedical images with DICOM extensions, like this:
DICOM is an acronym for Digital Imaging and Communications in Medicine. Files in this format are most likely saved with either a DCM or DCM30 (DICOM 3.0) file extension.
The objective is to load the data images of a human chest, use necessary filters and understand how to see possible problems.
Details
More technical details can be observed in the following project: https://github.com/jhonatangopereira/BiomedicalImageAnalysis/tree/main
Steps
Introduction: Import the necessary libraries to read every DICOM medical image.
Exploratory Data Analysis: Load, construct and navigate in N-dimensional images using CT scans of human chests.
Usage of masks and filters in biomedical images: Use grayscales to facilitate the processing.
Biomedical images measures and comparision
Conclusion
🛠️ Technologies used
The following technologies were used:
Languages:
Libraries:
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Posted Jan 7, 2024
Analyse and treat biomedical images to explore computacional linear algebra concepts and learn how to use masks and filters to extract the necessary data.
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