Research on liver cancer segmentation method based on PCNN image processing and SE-ResUnet.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
07 08 2023
07 08 2023
Historique:
received:
10
03
2023
accepted:
21
07
2023
medline:
9
8
2023
pubmed:
8
8
2023
entrez:
7
8
2023
Statut:
epublish
Résumé
As one of the malignant tumors with high mortality, the initial symptoms of liver cancer are not obvious. In addition, the liver is the largest internal organ of the human body, and its structure and distribution are relatively complex. Therefore, in order to help doctors judge liver cancer more accurately, this paper proposes a variant model based on Unet network. Before segmentation, the image is preprocessed, and Pulse Coupled Neural Network (PCNN) algorithm is used to filter the image adaptively to make the image clearer. For the segmentation model, the SE module is used as the input of the residual network, and then its output is connected to the Unet model through bilinear interpolation to perform the down-sampling and up-sampling operations. The dataset is a combination of Hainan Provincial People's Hospital and some public datasets Lits. The results show that this method has better segmentation performance and accuracy than the original Unet method, and the dice coefficient, mIou and other evaluation indicators have increased by at least 2.1%, which is a method that can be applied to cancer segmentation.
Identifiants
pubmed: 37550341
doi: 10.1038/s41598-023-39240-0
pii: 10.1038/s41598-023-39240-0
pmc: PMC10406939
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
12779Informations de copyright
© 2023. Springer Nature Limited.
Références
Comput Math Methods Med. 2022 Oct 10;2022:7321330
pubmed: 36262868
Clin Mol Hepatol. 2023 Jul;29(3):733-746
pubmed: 37157775
Radiol Med. 2023 May;128(5):588-600
pubmed: 37138200
Eur Radiol. 2023 Oct;33(10):6781-6793
pubmed: 37148350
Nat Commun. 2023 Apr 13;14(1):2102
pubmed: 37055393
Comput Methods Programs Biomed. 2020 Aug;192:105395
pubmed: 32163817
Comput Biol Med. 2022 Jul;146:105580
pubmed: 35551012
Sci Rep. 2018 Sep 14;8(1):13797
pubmed: 30218087
Comput Biol Med. 2022 Aug;147:105805
pubmed: 35809410
Microvasc Res. 2020 Jul;130:104011
pubmed: 32371104
J Neurointerv Surg. 2023 Mar;15(3):262-271
pubmed: 36375834
Comput Methods Programs Biomed. 2022 Dec;227:107206
pubmed: 36351348
Artif Intell Med. 2022 Aug;130:102331
pubmed: 35809970
IEEE Trans Med Imaging. 2020 Oct;39(10):3008-3018
pubmed: 32224453
Comput Biol Med. 2022 Dec;151(Pt A):106203
pubmed: 36306581
Math Biosci Eng. 2022 Jan;19(2):1426-1447
pubmed: 35135211
Clin Liver Dis. 2020 Nov;24(4):739-753
pubmed: 33012456
Comput Biol Med. 2023 Jun;160:106924
pubmed: 37146492
Comput Biol Med. 2022 Aug;147:105620
pubmed: 35667155
IEEE Trans Med Imaging. 2018 Dec;37(12):2663-2674
pubmed: 29994201
IEEE Trans Image Process. 2020 Sep 17;PP:
pubmed: 32941137
Clin Cancer Res. 2023 Jul 14;29(14):2588-2592
pubmed: 37227179
IEEE Trans Med Imaging. 2023 Oct;42(10):3059-3068
pubmed: 37145950
Pattern Recognit. 2022 Aug;128:
pubmed: 35528144
Rev Sci Instrum. 2021 Nov 1;92(11):113703
pubmed: 34852566
Eur Radiol. 2020 Mar;30(3):1297-1305
pubmed: 31712961
J Natl Cancer Inst. 2023 Jul 6;115(7):861-869
pubmed: 37160726