Grayscale medical image segmentation method based on 2D&3D object detection with deep learning

BACKGROUND: Grayscale medical image segmentation is the key step in clinical computer-aided diagnosis. Model-driven and data-driven image segmentation methods are widely used for their less computational complexity and more accurate feature extraction. However, model-driven methods like thresholding...

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Detalles Bibliográficos
Autores principales: Ge, Yunfei, Zhang, Qing, Sun, Yuantao, Shen, Yidong, Wang, Xijiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883636/
https://www.ncbi.nlm.nih.gov/pubmed/35220942
http://dx.doi.org/10.1186/s12880-022-00760-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8883636/
https://www.ncbi.nlm.nih.gov/pubmed/35220942
http://dx.doi.org/10.1186/s12880-022-00760-2

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