Res-UNet ensemble learning for mineral optical microscopy images semantic segmentation

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Res-UNet ensemble learning for mineral optical microscopy images semantic segmentation

Abstract: In geology and mineralogy, optical microscopic images have become a primary research focus for intelligent mineral recognition due to their low equipment cost, ease of use, and distinct mineral characteristics in imaging. However, due to their close reflectivity or transparency, some miner...

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Bibliographic Details
Main Authors:	Abdul Halin, Alfian, Jiang, Chong, Perumal, Thinagaran, Manshor, Noridayu, Abdullah, Lili Nurliyana, Yang, Baohua
Format:	Article
Language:	English
Published:	Multidisciplinary Digital Publishing Institute 2024
Online Access:	http://psasir.upm.edu.my/id/eprint/118276/ http://psasir.upm.edu.my/id/eprint/118276/1/118276.pdf

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