A novel approach for automatic segmentation of prostate and its lesion regions on magnetic resonance imaging

OBJECTIVE: To develop an accurate and automatic segmentation model based on convolution neural network to segment the prostate and its lesion regions. METHODS: Of all 180 subjects, 122 healthy individuals and 58 patients with prostate cancer were included. For each subject, all slices of the prostat...

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Detalles Bibliográficos
Autores principales: Ren, Huipeng, Ren, Chengjuan, Guo, Ziyu, Zhang, Guangnan, Luo, Xiaohui, Ren, Zhuanqin, Tian, Hongzhe, Li, Wei, Yuan, Hao, Hao, Lele, Wang, Jiacheng, Zhang, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154598/
https://www.ncbi.nlm.nih.gov/pubmed/37152013
http://dx.doi.org/10.3389/fonc.2023.1095353

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154598/
https://www.ncbi.nlm.nih.gov/pubmed/37152013
http://dx.doi.org/10.3389/fonc.2023.1095353

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