The determination of optimum segmentation parameters using genetic algorithms: Application to different segmentation algorithms and transmission electron microscopy tomography reconstructed volumes.
Sign Up to like & getrecommendations! Published in 2023 at "Microscopy research and technique"
DOI: 10.1002/jemt.24318
Abstract: A method for optimizing an automatic selection of values for parameters that feed segmentation algorithms is proposed. Evolutionary optimization techniques in combination with a fitness function based on a mutual information parameter have been used… read more here.
Keywords: segmentation parameters; electron microscopy; segmentation algorithms; microscopy ... See more keywords
Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and MRI Relaxometry
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.28365
Abstract: Deep learning (DL)‐based automatic segmentation models can expedite manual segmentation yet require resource‐intensive fine‐tuning before deployment on new datasets. The generalizability of DL methods to new datasets without fine‐tuning is not well characterized. read more here.
Keywords: segmentation algorithms; algorithms automated; generalizability deep; learning segmentation ... See more keywords
Performance Evaluation of Crop Segmentation Algorithms
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DOI: 10.1109/access.2020.2969451
Abstract: This paper presents a thorough evaluation of twenty-one state-of-the-art widely-used crop segmentation algorithms, motived by their significance in vision tasks for further analysis. An ideal crop segmentation algorithm can effectively extract crop information, thus providing… read more here.
Keywords: crop; crop segmentation; performance evaluation; segmentation ... See more keywords
Benchmark Analysis of Semantic Segmentation Algorithms for Safe Planetary Landing Site Selection
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DOI: 10.1109/access.2022.3167763
Abstract: This paper presents an in-depth analysis of state-of-the-art semantic segmentation algorithms applied to spacecraft safe planetary landing via hazard detection and avoidance. Several architectures are trained from binary safety maps and the rich dataset of… read more here.
Keywords: planetary landing; segmentation algorithms; analysis; safe planetary ... See more keywords
Qualitative Comparison of 2D and 3D Atmospheric Corrosion Detection Methods
Sign Up to like & getrecommendations! Published in 2021 at "Materials"
DOI: 10.3390/ma14133621
Abstract: In this article, we report the use of a Confocal Laser Scanning Microscope (CLSM) to apply a qualitative assessment of atmospheric corrosion on steel samples. From the CLSM, we obtain high-resolution images, together with a… read more here.
Keywords: atmospheric corrosion; detection; segmentation algorithms; qualitative comparison ... See more keywords