Image classification using a hybrid BiLSTM-CNN for breast cancer

This research aims to combine BiLSTM and CNN to provide a new model for applications in image classification. A BiLSTM network is a long-term recurrent neural network (RNN) that can recall dependencies. The main potential of BiLSTM, when used in a multi-layer configuration, is to enhance a CNN’s fea...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Maeedi, Ahmed Abed, Hammood, Dalal Abdulmohsin, Hasan, Shatha Mezher
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Artificial neural networks Classification Image classification Image enhancement Image filters Multilayers Neural networks Recurrent neural networks
Online-Zugang:	Volltext
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