A Deep Learning based Scalable and Adaptive Feature Extraction Framework for Medical Images

Abstract Features extraction has a fundamental value in enhancing the scalability and adaptability n of medical image processing framework. The outcome of this stage has a tremendous effect on the reliability of the medical application being developed, particularly disease classification and predict...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Loukil, Zainab [verfasserIn]

Mirza, Qublai Khan Ali [verfasserIn]

Sayers, Will [verfasserIn]

Awan, Irfan [verfasserIn]

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2023

Schlagwörter:

Features extraction

Deep learning

High-level features

Low-level features

Optimal features fusion.

Anmerkung:

© The Author(s) 2023

Übergeordnetes Werk:

Enthalten in: Information systems frontiers - Springer US, 1999, 26(2023), 4 vom: 24. Juli, Seite 1279-1305

Übergeordnetes Werk:

volume:26 ; year:2023 ; number:4 ; day:24 ; month:07 ; pages:1279-1305

Links:

Volltext

DOI / URN:

10.1007/s10796-023-10391-9

Katalog-ID:

SPR057193592

Nicht das Richtige dabei?

Schreiben Sie uns!