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Brain tissue (WM, GM, CSF) segmentation using both multi-atlas and nnUNet approaches. This project was developed for a course titled "Medical Image Segmentation and Applications" - MISA under MAIA master program.
A mammographic mass detection and segmentation approach using a multi-scale morphological sifting approach integrated with a mean shift filter, k-means, and post-processing that detects and segments breast masses. This approach was on the InBreast mammographic dataset for Image Analysis course in MAIA Master's degree.
ISIC2019 skin lesion classification (binary & multi-class) as well as segmentation pipelines using VGG16_BN and visual attention blocks. The project features improving the results found in the literature by implementing an ensemble architecture. This project was developed for "Computer Aided Diagnosis - CAD" course for MAIA masters program.
Registration of image sets and reference data of inspiratory and expiatory breath-hold CT image pairs acquired from the National Heart Lung Blood Institute COPDgene study archive. This project was developed for a course titled "Medical Image Registration and Applications" - MIRA under MAIA master program.
This repository contrains source code and the report for the COPD lung CT registration challenge. It was the final assignment for the Medical Image Registration and Analysis course at the University of Girona for the MAIA programme.
This repository contrains source code and the report for the Brain Segmentation challenge. It was the final assignment for the Medical Image Segmentation and Analysis course at the University of Girona for the MAIA programme.
Design an inverse kinematic controller to move end-effector. This work is done as a coursework for the 2nd semester of MAIA in Introduction to Robotics course.