A new algorithm for context-based biomedical diagram similarity estimation | Zendy

Songhua Xu | Zendy; Jianqiang Sheng | Zendy; Xiaonan Luo | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

A new algorithm for context-based biomedical diagram similarity estimation

Author(s) -

Songhua Xu,

Jianqiang Sheng,

Xiaonan Luo

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt030

Subject(s) - computer science , context (archaeology) , ranking (information retrieval) , similarity (geometry) , data mining , diagram , information retrieval , algorithm , semantic similarity , key (lock) , set (abstract data type) , theoretical computer science , image (mathematics) , artificial intelligence , paleontology , computer security , database , biology , programming language

Diagrams embedded in the biomedical literature convey rich contents, which often concisely and intuitively highlight key thesis of a research article. Despite their vital importance and informative clues for biomedical literature navigation and retrieval; currently, we miss an effective computational method for automatically understanding and accessing these valuable resources.

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