Cancer Diagnosis Using Deep Learning: A Bibliographic Review

In this paper, we first describe the basics of the field of cancer diagnosis, which includes steps of cancer diagnosis followed by the typical classification methods used by doctors, providing a historical idea of cancer classification techniques to the readers. These methods include Asymmetry, Bord...

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Bibliographische Detailangaben
Veröffentlicht in:	Cancers Jg. 11; H. 9; S. 1235
Hauptverfasser:	Munir, Khushboo, Elahi, Hassan, Ayub, Afsheen, Frezza, Fabrizio, Rizzi, Antonello
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 23.08.2019 MDPI
Schlagworte:	Artificial intelligence Brain cancer Breast cancer Classification Deep learning Diagnosis Image processing Learning algorithms Long short-term memory Lung cancer Machine learning Neural networks Neuroimaging Noise Review Segmentation Skin cancer convolutional neural networks (CNNs) deep learning recurrent neural networks (RNNs) long short-term memory (LTSM) restricted Boltzmann’s machine (RBM) generative adversarial models (GANs) deep autoencoders (DANs)
ISSN:	2072-6694, 2072-6694
Online-Zugang:	Volltext
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