Detection of Prostate Cancer Using Deep Learning Framework. Issue 1 (January 2021)

• Record Type: Journal Article
• Authors: Patel, Abhishek; Singh, Sanjay Kumar; Khamparia, Aditya
• Is Part Of: IOP conference series. Volume 1022:Issue 1(2021)
• Publication Date: 2021-01
• Subjects: Prostate Cancer -- Magnetic Resonance Imaging (MRI) -- Prostate specific antigen (PSA) -- Prostate-specific membrane antigen positron emission tomography (PSMA-PET) -- Prostate-specific membrane -- Radiotherapy -- Prostate Imaging Reporting and Data System (PI-RADS); Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/1022/1/012073
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: Recent studies in Prostate Cancer signifies as magnetic resonance imaging targets to biopsy shows more enhanced result. The systematic study of Medline, Embase, Scopus, Cochrane helps in meta-analysis. Prostate specific antigen is obtained from curative radiotherapy. Prostate-specific membrane antigen positron emission tomography helps to localize recurrence prostate cancer whether it has increased. Prostate specific antigen rising helps to identify and prompted the reason of Prostate-specific membrane antigen positron emission tomography imagining. angiogenesis play an important role for diagnosis noninvasive cancer with technique contrast-enhanced ultrasound. Prostate Cancer accuracy were determined by MRI-targeted biopsy and the transrectal ultrasound-guided biopsy.