Cargando…
Automatic detect lung node with deep learning in segmentation and imbalance data labeling
In this study, a novel method with the U-Net-based network architecture, 2D U-Net, is employed to segment the position of lung nodules, which are an early symptom of lung cancer and have a high probability of becoming a carcinoma, especially when a lung nodule is bigger than 15 [Formula: see text] ....
Autores principales: | Chiu, Ting-Wei, Tsai, Yu-Lin, Su, Shun-Feng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8160011/ https://www.ncbi.nlm.nih.gov/pubmed/34045563 http://dx.doi.org/10.1038/s41598-021-90599-4 |
Ejemplares similares
-
Automatic Segmentation with Deep Learning in Radiotherapy
por: Isaksson, Lars Johannes, et al.
Publicado: (2023) -
Automatic Detection and Counting of Wheat Spikelet Using Semi-Automatic Labeling and Deep Learning
por: Qiu, Ruicheng, et al.
Publicado: (2022) -
Review of Deep Learning Based Automatic Segmentation for Lung Cancer Radiotherapy
por: Liu, Xi, et al.
Publicado: (2021) -
Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis
por: Chang, Che Wei, et al.
Publicado: (2022) -
Automatic deep learning-based pleural effusion segmentation in lung ultrasound images
por: Vukovic, Damjan, et al.
Publicado: (2023)