Computerized classification of gastrointestinal polyps using stacking ensemble of convolutional neural network

Computerized classification of gastrointestinal polyps using stacking ensemble of convolutional neural network

In this paper, we have proposed a classification method of gastrointestinal polyps using the stacking ensemble technique. The ensemble method consisted of three fine-tuned deep convolutional neural network architectures (Xception, ResNet-101, and VGG-19), and the network weights were initialized fro...

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Bibliographic Details
Main Authors: Mohammad Motiur Rahman, Md. Anwar Hussen Wadud, Md. Mahmodul Hasan
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Polyp classification
Convolutional neural network
Stacking ensemble
Gastrointestinal polyp
Medical diagnosis
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821000939

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http://www.sciencedirect.com/science/article/pii/S2352914821000939

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