Cargando…
Dermoscopic image segmentation based on Pyramid Residual Attention Module
We propose a stacked convolutional neural network incorporating a novel and efficient pyramid residual attention (PRA) module for the task of automatic segmentation of dermoscopic images. Precise segmentation is a significant and challenging step for computer-aided diagnosis technology in skin lesio...
Autores principales: | Jiang, Yun, Cheng, Tongtong, Dong, Jinkun, Liang, Jing, Zhang, Yuan, Lin, Xin, Yao, Huixia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481037/ https://www.ncbi.nlm.nih.gov/pubmed/36112649 http://dx.doi.org/10.1371/journal.pone.0267380 |
Ejemplares similares
-
PCF-Net: Position and context information fusion attention convolutional neural network for skin lesion segmentation
por: Jiang, Yun, et al.
Publicado: (2023) -
MTPA_Unet: Multi-Scale Transformer-Position Attention Retinal Vessel Segmentation Network Joint Transformer and CNN
por: Jiang, Yun, et al.
Publicado: (2022) -
iU-Net: a hybrid structured network with a novel feature fusion approach for medical image segmentation
por: Jiang, Yun, et al.
Publicado: (2023) -
SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformer
por: Jiang, Yun, et al.
Publicado: (2022) -
Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images
por: Zhao, Dongdong, et al.
Publicado: (2022)