Deep learning for size and microscope feature extraction and classification in Oral Cancer: enhanced convolution neural network

Abstract Background and Aim: Deep learning technology has not been implemented successfully in oral cancer images classification due to the overfitting problem. Due to the network arrangement and lack of proper data set for training, the network might not produce the required feature map with dimens...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Joshi, Prakrit [verfasserIn]

Alsadoon, Omar Hisham

Alsadoon, Abeer

AlSallami, Nada

Rashid, Tarik A.

Prasad, P.W.C.

Haddad, Sami

Format:

Artikel

Sprache:

Englisch

Erschienen:

2022

Schlagwörter:

Deep learning

Images classification

Autoencoder

Overfitting

Oral Cancer

Feature extraction

Information compression

Anmerkung:

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022

Übergeordnetes Werk:

Enthalten in: Multimedia tools and applications - Springer US, 1995, 82(2022), 4 vom: 05. Aug., Seite 6197-6220

Übergeordnetes Werk:

volume:82 ; year:2022 ; number:4 ; day:05 ; month:08 ; pages:6197-6220

Links:

Volltext

DOI / URN:

10.1007/s11042-022-13412-y

Katalog-ID:

OLC2133558160

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