Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 2 of 2 for “"3D cell Segmentation"”.
-
Animal Internal Motion Analysis with Unsupervised Machine Learning Methods
… internal motions within biological systems—from cellular migrations during development to repeated contractions in muscle tissue—is essential for comprehending the fundamental mechanisms that drive life processes. This report presents innovative unsupervised machine learning methods to explore …
-
Deep Learning Approach for Cell Nuclear Pore Detection and Quantification over High Resolution 3D Data
The intricate task of segmenting and quantifying cell nuclear pores in high-resolution 3D microscopy data is critical for cellular biology and disease research. This thesis introduces a deep learning pipeline crafted to automate the segmentation and quantification of nuclear pores from …