GitHub - smart-sheep/ultrasound-image-segmentation-using-SgeNet-and-local-Nakagami-distribution-fitting-model: The implementation code of article"Cui W, Meng D, Lu K, et al. Automatic segmentation of ultrasound images using SegNet and local Nakagami distribution fitting model[J]. Biomedical Signal Processing and Control, 2023, 81: 104431."

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The implementation code of article"Cui W, Meng D, Lu K, et al. Automatic segmentation of ultrasound images using SegNet and local Nakagami distribution fitting model[J]. Biomedical Signal Processing and Control, 2023, 81: 104431."

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Name		Name	Last commit message	Last commit date
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LNDF		LNDF
SegNet		SegNet
.gitattributes		.gitattributes
readme.txt		readme.txt

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#ultrasound-image-segmentation-using-SgeNet-and-local-Nakagami-distribution-fitting-model

The code of the article "Cui W, Meng D, Lu K, et al. Automatic segmentation of ultrasound images using SegNet and local Nakagami distribution fitting model[J]. Biomedical Signal Processing and Control, 2023, 81: 104431."
The link of the article: https://doi.org/10.1016/j.bspc.2022.104431
"SgeNet" folder: use SegNet to complete the rough segmentation of ultrasonic images.
"LNDF" folder: convert the coarse segmentation result into the initialization level set function, and use LNDF to complete the fine segmentation.

This program runs on MATLAB2020a, and later versions should also be available.