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Data repository for the study and manuscript titled "Mitigating the impact of image processing variations on tumour [18F]-FDG-PET radiomic feature robustness" by Syafiq Ramlee, Roido Manavaki, Luigi Aloj, and Lorena Escudero Sanchez.
Data repository for the study and manuscript titled "The dependencies of phantom [18F]-FDG-PET radiomic features to image acquisition and reconstruction parameters" by Syafiq Ramlee, Maria Delgado-Ortet, Lorena Escudero Sanchez, Luigi Aloj, and Roido Manavaki.
This repository is the result of an academic project at Ecole Centrale in Nantes, France, with my classmate @damien-gautier-nantes. The aim of this project was to evaluate the performance of universal segmentation models for segmenting cancerous lesions. The UniverSeg and Segment Anything (SAM) models were tested.
This package provides auxiliary functions for calculating Simultaneous Confidence Corridors (SCCs) on PET neuroimaging data. This package is developed as an auxiliary package to the project:
Code used in relation to the neurodegenerative disorder study with [11C]PiB and [18F]FE-PE2I tracers (2022). Image preparation, model inference and metrics extraction.