Document Type

Article

Rights

This item is available under a Creative Commons License for non-commercial use only

Disciplines

2. ENGINEERING AND TECHNOLOGY

Publication Details

IMVIP 2019: Irish Machine Vision and Image Processing, Technological University Dublin, 28-30 August.

Abstract

Abstract We compare Deep Convolutional Neural Networks (DCNN) frameworks, namely AlexNet and VGGNet, for the classification of healthy and malaria-infected cells in large, grayscale, low quality and low resolution microscopic images, in the case only a small training set is available. Experimental results deliver promising results on the path to quick, automatic and precise classification in unstrained images.

DOI

http://doi.org10.21427/t6bj-zr14

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Engineering Commons

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