To address this issue, a dual-path lung nodules segmentation model based on boundary enhancement and hybrid transformer (DPBET) is proposed in this paper.
DPBET: A dual-path lung nodules segmentation model based on ...
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We propose a dual-path lung nodules segmentation model based on boundary enhancement and hybrid transformer. •. Hybrid CNN-Transformer compensates for the ...
An automatic lung nodule detection and classification using an optimized convolutional neural network and enhanced k-means clustering · Lung Cancer ...
To address this issue, a dual-path lung nodules segmentation model based on boundary enhancement and hybrid transformer (DPBET) is proposed in this paper. The ...
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Nov 20, 2022 · Accurate segmentation of lung nodules is an important basis for the subsequent differentiation of benign and malignant pathological types, ...
DPBET: A dual-path lung nodules segmentation model based on boundary enhancement and hybrid transformer. Sihui Wang, Ailian Jiang, Xiaotian Li, Yanfang Qiu ...
Apr 25, 2024 · Feixiang Li: DPBET: A dual-path lung nodules segmentation model based on boundary enhancement and hybrid transformer. Comput. Biol. Medicine ...
Jiang, X. Li, Y. Qiu, M. Li, F. Li, DPBET: A dual-path lung nodules segmentation model based on boundary enhancement and hybrid transformer, Comput. Biol ...
Feb 12, 2024 · DPBET: A dual-path lung nodules segmentation model based on boundary enhancement and hybrid transformer. Wang S, Jiang A, Li X, Qiu Y, Li M ...
Wang, DPBET: A dual-path lung nodules segmentation model based on boundary enhancement and hybrid transformer, Comput. Biol. Med., № 151; Mobiny, Memory ...