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Journal Photo for Computer Methods and Programs in Biomedicine
Peer reviewed only Open Access

Computer Methods and Programs in Biomedicine (CMPB)

Publisher : Elsevier
Health Informatics Software Computer Science Applications
Claim Your Journal Get PRC Visit Website
e-ISSN 1872-7565
p-ISSN 0169-2607
Issue Frequency Monthly
Impact Factor 4.8
Est. Year 1985
Mobile 35361709600
Language English
APC YES
Email filippo.molinari@polito.it

Journal Descriptions

To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine.

Computer Methods and Programs in Biomedicine (CMPB) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Health Informatics, Software, Computer Science Applications, the eventual distribution of demonstrable software to avoid duplication of effort, to provide a forum for discussion and improvement of existing software, Biomedical Engineering, Medical Informatics, Computer Science (Interdisciplinary Applications, Computing Methods), Healthcare Technology , Online or Print , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0169-2607, E-ISSN: 1872-7565, Established: 1985, Impact Factor: 4.8
  • Does Not Provide Crossref DOI

  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Publications of CMPB

Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images
Pietro Liò November, 2023
Background and Objective: High-resolution histopathology whole slide images (WSIs) contain abundant valuable information for cancer prognosis. However, most computational pathology methods ...
Optimal Deep Belief Network with Opposition based Pity Beetle Algorithm for Lung Cancer Classification: A DBNOPBA Approach
J Merry Geisa December, 2020