Deep learning based 3D segmentation of X-ray microtomographic volumes from the human middle ear | |
The aim of the project is to develop a deep learning model capable of performing 3D semantic segmentation of the different features of the middle ear, from synchrotron-based X-ray microtomography 3D volumes. Challenges include developing a high-performance algorithm for handling large data sizes (20 GB per volume). The project consists in a first phase about dataset generation followed by a second phase of development/selection of the most appropriate DL model and metrics. |
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