TMD-Unet: Triple-Unet with Multi-Scale Input Features and Dense Skip Connection for Medical Image Segmentation

Deep learning is one of the most effective approaches to medical image processing applications. Network models are being studied more and more for medical image segmentation challenges. The encoder–decoder structure is achieving great success, in particular the Unet architecture, which is used as a...

Descripción completa

Detalles Bibliográficos
Autores principales: Tran, Song-Toan, Cheng, Ching-Hwa, Nguyen, Thanh-Tuan, Le, Minh-Hai, Liu, Don-Gey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825313/
https://www.ncbi.nlm.nih.gov/pubmed/33419018
http://dx.doi.org/10.3390/healthcare9010054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7825313/
https://www.ncbi.nlm.nih.gov/pubmed/33419018
http://dx.doi.org/10.3390/healthcare9010054

Ejemplares similares