Statistical analysis of survival models using feature quantification on prostate cancer histopathological images

• Egile Nagusiak: Jian Ren (Egilea), Eric A Singer (Egilea), Evita Sadimin (Egilea), David J Foran (Egilea), Xin Qi (Egilea)
• Formatua: Liburua
• Argitaratua: Elsevier, 2019-01-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

Background: Grading of prostatic adenocarcinoma is based on the Gleason scoring system and the more recently established prognostic grade groups. Typically, prostate cancer grading is performed by pathologists based on the morphology of the tumor on hematoxylin and eosin (H and E) slides. In this st...