Impact of Image Enhancement Using Contrast-Limited Adaptive Histogram Equalization (CLAHE), Anisotropic Diffusion, and Histogram Equalization on Spine X-Ray Segmentation with U-Net, Mask R-CNN, and Transfer Learning

Image segmentation is one of the important applications of deep learning models, such as U-Net and Mask R-CNN, in medical imaging. The image segmentation process enables automated extraction of important information within images, including spine X-rays, saving medical practitioners hours of work. H...

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Bibliografiske detaljer

Principais autores:	Muhammad Shahrul Zaim Ahmad, Nor Azlina Ab. Aziz, Heng Siong Lim, Anith Khairunnisa Ghazali, ‘Afif Abdul Latiff
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-12-01
Serier:	Algorithms
Fag:	image enhancement CLAHE anisotropic diffusion histogram equalization spine Mask R-CNN
Online adgang:	https://www.mdpi.com/1999-4893/18/12/796
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