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Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies.
Hussain, Lal; Ahmed, Adeel; Saeed, Sharjil; Rathore, Saima; Awan, Imtiaz Ahmed; Shah, Saeed Arif; Majid, Abdul; Idris, Adnan; Awan, Anees Ahmed.
Affiliation
  • Hussain L; QEC, The University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan.
  • Ahmed A; Department of CS and IT, The University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan.
  • Saeed S; Department of CS and IT, The University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan.
  • Rathore S; Department of CS and IT, The University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan.
  • Awan IA; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA.
  • Shah SA; Department of CS and IT, The University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan.
  • Majid A; Department of CS and IT, The University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan.
  • Idris A; Department of CS and IT, The University of Azad Jammu and Kashmir, Muzaffarabad, Azad Kashmir, Pakistan.
  • Awan AA; Department of CS and IT, University of Poonch Rawalakot, Rawalakot, Azad Kashmir, Pakistan.
Cancer Biomark ; 21(2): 393-413, 2018 Feb 06.
Article in En | MEDLINE | ID: mdl-29226857
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Support Vector Machine / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Humans / Male Language: En Journal: Cancer Biomark Journal subject: BIOQUIMICA / NEOPLASIAS Year: 2018 Document type: Article Affiliation country: Pakistán Country of publication: Países Bajos
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Support Vector Machine / Machine Learning Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Limits: Humans / Male Language: En Journal: Cancer Biomark Journal subject: BIOQUIMICA / NEOPLASIAS Year: 2018 Document type: Article Affiliation country: Pakistán Country of publication: Países Bajos