Utilization of Convolutional Neural Networks for Urinary Bladder Cancer Diagnosis Recognition From CT Imagery

Ivan Lorencin,Klara Smolić,Sandi Baressi Šegota,Nikola Andelić,Daniel Štifanić,Jelena Musulin,Dean Markić,Josip Španjol,Zlatan Car

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)（2021）

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Abstract

In this paper, an approach for urinary bladder cancer diagnosis from computer tomography (CT) images based on the application of convolutional neural networks (CNN) is presented. The image data set that consists of three main parts (frontal, horizontal, and sagittal plane) is used. In order to classify images, pre-defined CNN architectures are used. CNN performances are evaluated by using 5-fold c...

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Key words

Artificial intelligence,Convolutional neural network,Machine learning,Urinary bladder cancer

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