Biomedical Image Analysis
Jhonatan Pereira
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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.
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: