The Diagnostic Competitions | Zendy

Feldman Alexander | Zendy; Kleer Johan | Zendy; Kurtoglu Tolga | Zendy; Narasimhan Sriram | Zendy; Poll Scott | Zendy; Garcia David | Zendy; Kuhn Lukas | Zendy; Gemund Arjan J. C. | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

The Diagnostic Competitions

Author(s) -

Feldman Alexander,

Kleer Johan,

Kurtoglu Tolga,

Narasimhan Sriram,

Poll Scott,

Garcia David,

Kuhn Lukas,

Gemund Arjan J. C.

Publication year - 2014

Publication title -

ai magazine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.597

H-Index - 79

eISSN - 2371-9621

pISSN - 0738-4602

DOI - 10.1609/aimag.v35i2.2532

Subject(s) - diagnostic test , diagnostic accuracy , computer science , set (abstract data type) , artificial intelligence , diagnostic model , machine learning , data mining , medicine , radiology , pediatrics , programming language

The international diagnostic competitions provide a set of diagnostic benchmarks to evaluate diagnostic algorithms. This article describes a common diagnostic framework used to evaluate these algorithms. These competitions, started in 2009, have significantly helped shape subsequent diagnostic algorithms.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research