Presenting a System to Aid on the Examination of Scintigraphy Bone Analysis Using DICOM Files

This work presents the use of computer vision and machine learning techniques to implement a semi-automated system to aid on understanding scintigraphy DICOM exams. In such a way, all aspects included from the image preprocessing to the identification and final classification of bone anomalies by th...

Full description

Saved in:
Bibliographic Details
Published inSystems, Signals and Image Processing Vol. 1527; pp. 41 - 52
Main Authors da Silva, José M. Carneiro, Fernandes, Fernando, Botelho, Heron, Mesquita, Cláudio T., Conci, Aura
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2022
Springer International Publishing
SeriesCommunications in Computer and Information Science
Subjects
Bone metastasis
Bone scintigraphy
Medical images processing
Online AccessGet full text

Cover

More Information
Summary:This work presents the use of computer vision and machine learning techniques to implement a semi-automated system to aid on understanding scintigraphy DICOM exams. In such a way, all aspects included from the image preprocessing to the identification and final classification of bone anomalies by the digital scintigraphy images are presented in details.
ISBN:9783030968779
3030968774
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-030-96878-6_4