Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Combination of visual and symbolic knowledge: A survey in anatomy

Academic Article
Publication Date:
2017
abstract:
In medicine, anatomy is considered as the most discussed field and results in a huge amount of knowledge, which is heterogeneous and covers aspects that are mostly independent in nature. Visual and symbolic modalities are mainly adopted for exemplifying knowledge about human anatomy and are crucial for the evolution of computational anatomy. In particular, a tight integration of visual and symbolic modalities is beneficial to support knowledge-driven methods for biomedical investigation. In this paper, we review previous work on the presentation and sharing of anatomical knowledge, and the development of advanced methods for computational anatomy, also focusing on the key research challenges for harmonizing symbolic knowledge and spatial 3D data.
Iris type:
01.01 Articolo in rivista
Keywords:
Computational anatomy; Computer aided diagnosis systems; Information systems; IT applications in health care; Knowledge in medicine; Med
List of contributors:
Banerjee, Imon; Spagnuolo, Michela; Patane', Giuseppe
Authors of the University:
PATANE' GIUSEPPE
SPAGNUOLO MICHELA
Handle:
https://iris.cnr.it/handle/20.500.14243/327913
Published in:
COMPUTERS IN BIOLOGY AND MEDICINE
Journal
  • Overview

Overview

URL

http://www.sciencedirect.com/science/article/pii/S0010482516303122
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)