Cargando…
Fully Convolutional Network for the Semantic Segmentation of Medical Images: A Survey
There have been major developments in deep learning in computer vision since the 2010s. Deep learning has contributed to a wealth of data in medical image processing, and semantic segmentation is a salient technique in this field. This study retrospectively reviews recent studies on the application...
Autores principales: | Huang, Sheng-Yao, Hsu, Wen-Lin, Hsu, Ren-Jun, Liu, Dai-Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689961/ https://www.ncbi.nlm.nih.gov/pubmed/36428824 http://dx.doi.org/10.3390/diagnostics12112765 |
Ejemplares similares
-
Semantic segmentation in medical images through transfused convolution and transformer networks
por: Dhamija, Tashvik, et al.
Publicado: (2022) -
Artificial Convolutional Neural Network in Object Detection and Semantic Segmentation for Medical Imaging Analysis
por: Yang, Ruixin, et al.
Publicado: (2021) -
Automatic Deep Learning Semantic Segmentation of Ultrasound Thyroid Cineclips Using Recurrent Fully Convolutional Networks
por: WEBB, JEREMY M., et al.
Publicado: (2020) -
Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks
por: Koitka, Sven, et al.
Publicado: (2020) -
Correction to: Fully automated body composition analysis in routine CT imaging using 3D semantic segmentation convolutional neural networks
por: Koitka, Sven, et al.
Publicado: (2020)