A Tuned Whale Optimization-Based Stacked-LSTM Network for Digital Image Segmentation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-022-06964-6.pdf
Reference64 articles.
1. Gesho, M.; Chaisoontornyotin, W.; Elkhatib, O.; Goual, L.: Auto-segmentation technique for SEM images using machine learning: Asphaltene deposition case study. Ultramicroscopy 217, 113074 (2020). https://doi.org/10.1016/j.ultramic.2020.113074
2. Tengfei, S.; Liu, T.; Zhang, S.; Zhongyi, Q.; Li, R.: Machine learning-assisted region merging for remote sensing image segmentation. ISPRS J. Photogramm. Remote Sens. 168, 89–123 (2020). https://doi.org/10.1016/j.isprsjprs.2020.07.017
3. Chakraborty, S.; Mali, K.: SUFMACS: a machine learning-based robust image segmentation framework for COVID-19 radiological image interpretation. Expert Syst. Appl. 178, 115069 (2021). https://doi.org/10.1016/j.eswa.2021.115069
4. Saha, S.K.; Pradhan, S.; Barai, S.V.: Use of machine learning based technique to X-ray microtomographic images of concrete for phase segmentation at meso-scale. Construct. Build. Mater. 249, 118744 (2020). https://doi.org/10.1016/j.conbuildmat.2020.118744
5. Alves, W.A.L.; Gobber, C.F.; Silva, D.J.; Morimitsu, A.; Hashimoto, R.F.; Marcotegui, B.: Image segmentation based on ultimate levelings: From attribute filters to machine learning strategies. Pattern Recognit. Lett. 133, 264–271 (2020). https://doi.org/10.1016/j.patrec.2020.03.013
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