PSP net-based automatic segmentation network model for prostate magnetic resonance imaging

Author:

Yan Lingfei,Liu Dawei,Xiang Qi,Luo Yang,Wang Tao,Wu Dali,Chen Haiping,Zhang Yu,Li Qing

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference42 articles.

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3. Survivin expression is associated with features of biologically aggressive prostate carcinoma;Shahrokh;Cancer,2004

4. Molecular features of the transition from prostatic intraepithelial neoplasia (PIN) to prostate cancer: genome-wide gene-expression profiles of prostate cancers and PINs;Ashida;Cancer Res.,2004

5. Variations in hospice use among cancer patients;Keating;J. Natl. Cancer Inst.,2021

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