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Diagnostics (Diagnostics)

Publisher :

MDPI

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • radiology
  • nuclear medicine
  • endoscopy

    • +2

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 in - 2011, Impact Factor - 3.0

Not Provide Crossref DOI

Indexed in Scopus, WoS, DOAJ, PubMed

Not indexed in UGC CARE

Indexing

Scopus Profile
Google Scholar
Scopus Profile
Scopus
Scopus Profile
WoS

+8 More

Publications of Diagnostics

  • dott image October, 2024

Multi-View Soft Attention-Based Model for the Classification of Lung Cancer-Associated Disabilities

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...

  • dott image June, 2023

A Novel Hybrid Approach for Classifying Osteosarcoma Using Deep Feature Extraction and Multilayer Perceptron

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...

  • dott image February, 2023

DTLCx: An Improved ResNet Architecture to Classify Normal and Conventional Pneumonia Cases from COVID-19 Instances with Grad-CAM-Based Superimposed Vi...

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...

  • dott image October, 2022

Theory and Practice of Integrating Machine Learning and Conventional Statistics in Medical Data Analysis

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...

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