Lung Nodule Segmentation with Region-based Fast Marching Method

General info

This project contains all materials associated with the study

Credits and Original Work

This project has been built upon existing work as a foundation. More information on which ideas, techniques, algorithms and code were original and which were taken from existing work can be found in "Credits and Original Work.pdf"

Directory Structure

• Altered phantom nodules : nodule images from altered phantom dataset, after preprocessing and alterations
• Evaluation (Objective) : python code for performing objective evaluation, and for generating plots
• Evaluation (Subjective) : python code for performing subjective evaluation, and for generating plots
• Extract_LIDC_nodules : python code that performs preprocessing stage on nodules from LIDC dataseet, with DICOM files and nodule coordinates as inputs
• Extract_phantom_nodules : python code that performs preprocessing stage on phantom nodules, with DICOM files and nodule coordinates as input
• FMM_segmentation : python code for running the region-based fast marching method segmentation algorithm
• LIDC_nodules_by_categories : nodule images from LIDC subset, after preprocessing, images are sorted by category
• Matlab : matlab code for performing active contours segmentation