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Journal Photo for Diagnostics
Peer reviewed only Open Access

Diagnostics (Diagnostics)

Publisher : MDPI
radiology nuclear medicine endoscopy
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e-ISSN 2075-4418
Issue Frequency Semi-monthly
Impact Factor 3.0
Est. Year 2011
Mobile 41616837734
Country Switzerland
Language English
APC YES
Impact Factor Assignee Google Scholar
Email diagnostics@mdpi.com

Journal Descriptions

Diagnostics is an international, peer-reviewed, open access journal on medical diagnosis published semimonthly online by MDPI. The British Neuro-Oncology Society (BNOS), the International Society for Infectious Diseases in Obstetrics and Gynaecology (ISIDOG) and the Swiss Union of Laboratory Medicine (SULM) are affiliated with Diagnostics and their members receive a discount on the article processing charges. Diagnostics (ISSN 2075-4418) is an international scholarly open access journal on medical diagnosis. It publishes original research articles, reviews, short communications, case reports and interesting images. There is no restriction on the maximum length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodological details must be provided for research articles.

Diagnostics (Diagnostics) is :-

  • International, Peer-Reviewed, Open Access, Refereed, radiology, nuclear medicine, endoscopy, pathology, biosensors , Online , Semi-monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2075-4418, Established: 2011, Impact Factor: 3.0
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus, WoS, DOAJ, PubMed

  • Not indexed in UGC CARE

Indexing

Publications of Diagnostics

Multi-View Soft Attention-Based Model for the Classification of Lung Cancer-Associated Disabilities
Mohammad Ali Moni October, 2024
Background: The detection of lung nodules at their early stages may significantly enhance the survival rate and prevent progression to severe disability caused by advanced lung cancer, but i...
A Novel Hybrid Approach for Classifying Osteosarcoma Using Deep Feature Extraction and Multilayer Perceptron
Mohammad Ali Moni June, 2023
Osteosarcoma is the most common type of bone cancer that tends to occur in teenagers and young adults. Due to crowded context, inter-class similarity, inter-class variation, and noise in H&E...
DTLCx: An Improved ResNet Architecture to Classify Normal and Conventional Pneumonia Cases from COVID-19 Instances with Grad-CAM-Based Superimposed Vi...
Mohammad Ali Moni February, 2023
COVID-19 is a severe respiratory contagious disease that has now spread all over the world. COVID-19 has terribly impacted public health, daily lives and the global economy. Although some de...
Theory and Practice of Integrating Machine Learning and Conventional Statistics in Medical Data Analysis
Pietro Liò October, 2022
The practice of medical decision making is changing rapidly with the development of innovative computing technologies. The growing interest of data analysis with improvements in big data com...