DPBET: A dual-path lung nodules segmentation model based on boundary enhancement and hybrid transformer.

Wang, Sihui; Jiang, Ailian; Li, Xiaotian; Qiu, Yanfang; Li, Mengyang; Li, Feixiang

Wang, Sihui; Jiang, Ailian; Li, Xiaotian; Qiu, Yanfang; Li, Mengyang; Li, Feixiang.

Affiliation

Wang S; College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030600, China.
Jiang A; College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030600, China. Electronic address: ailianjiang@126.com.
Li X; College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030600, China.
Qiu Y; College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030600, China.
Li M; College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030600, China.
Li F; College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030600, China.

Comput Biol Med ; 151(Pt B): 106330, 2022 12.

Article in En | MEDLINE | ID: mdl-36450216

Subject(s)

Lung Neoplasms; Tomography, X-Ray Computed; Humans; Tomography, X-Ray Computed/methods; Neural Networks, Computer; Lung Neoplasms/diagnosis; Lung

Key words

Boundary enhancement; Convolutional neural networks; Dual-path; Lung nodules segmentation; Transformer

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tomography, X-Ray Computed / Lung Neoplasms Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2022 Document type: Article Affiliation country: China Country of publication: United States

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