A novel deep learning approach in haematology for classification of leucocytes

Vitoantonio Bevilacqua, Antonio Brunetti, Gianpaolo Francesco Trotta, Domenico De Marco, Marco Giuseppe Quercia, Domenico Buongiorno, Alessia D’Introno, Francesco Girardi, Attilio Guarini

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

This paper presents a comparison between two different Computer Aided Diagnosis systems for classification of five types of leucocytes located in the tail of a Peripheral Blood Smears: Lymphocytes, Monocytes, Neutrophils, Basophils and Eosinophils. In particular, we have evaluated and compared the performance of a previous feature-based Back Propagation Neural Network classifier with the performance of two novel classifiers both based on Deep Learning using Convolutional Neural Networks introduced in this study. All the classifiers are built considering the same dataset of images acquired in a previous study. The experimental results, reported in terms of accuracy, sensitivity, specificity and precision, show that the different strategies could be compared and discussed from both clinical and technical point of view.

Original languageEnglish
Title of host publicationSmart Innovation, Systems and Technologies
PublisherSpringer Science and Business Media Deutschland GmbH
Pages265-274
Number of pages10
DOIs
Publication statusPublished - Jan 1 2019

Publication series

NameSmart Innovation, Systems and Technologies
Volume103
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Fingerprint

Classifiers
Neural networks
Computer aided diagnosis
Lymphocytes
Backpropagation
Blood
Deep learning
Hematology
Classifier
Specificity
Back-propagation neural network
Neutrophils

Keywords

  • Artificial neural network
  • Classification
  • Computer aided diagnosis
  • Convolutional neural network
  • Deep learning
  • Transfer learning

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

Cite this

Bevilacqua, V., Brunetti, A., Trotta, G. F., De Marco, D., Quercia, M. G., Buongiorno, D., ... Guarini, A. (2019). A novel deep learning approach in haematology for classification of leucocytes. In Smart Innovation, Systems and Technologies (pp. 265-274). (Smart Innovation, Systems and Technologies; Vol. 103). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-95095-2_25

A novel deep learning approach in haematology for classification of leucocytes. / Bevilacqua, Vitoantonio; Brunetti, Antonio; Trotta, Gianpaolo Francesco; De Marco, Domenico; Quercia, Marco Giuseppe; Buongiorno, Domenico; D’Introno, Alessia; Girardi, Francesco; Guarini, Attilio.

Smart Innovation, Systems and Technologies. Springer Science and Business Media Deutschland GmbH, 2019. p. 265-274 (Smart Innovation, Systems and Technologies; Vol. 103).

Research output: Chapter in Book/Report/Conference proceedingChapter

Bevilacqua, V, Brunetti, A, Trotta, GF, De Marco, D, Quercia, MG, Buongiorno, D, D’Introno, A, Girardi, F & Guarini, A 2019, A novel deep learning approach in haematology for classification of leucocytes. in Smart Innovation, Systems and Technologies. Smart Innovation, Systems and Technologies, vol. 103, Springer Science and Business Media Deutschland GmbH, pp. 265-274. https://doi.org/10.1007/978-3-319-95095-2_25
Bevilacqua V, Brunetti A, Trotta GF, De Marco D, Quercia MG, Buongiorno D et al. A novel deep learning approach in haematology for classification of leucocytes. In Smart Innovation, Systems and Technologies. Springer Science and Business Media Deutschland GmbH. 2019. p. 265-274. (Smart Innovation, Systems and Technologies). https://doi.org/10.1007/978-3-319-95095-2_25
Bevilacqua, Vitoantonio ; Brunetti, Antonio ; Trotta, Gianpaolo Francesco ; De Marco, Domenico ; Quercia, Marco Giuseppe ; Buongiorno, Domenico ; D’Introno, Alessia ; Girardi, Francesco ; Guarini, Attilio. / A novel deep learning approach in haematology for classification of leucocytes. Smart Innovation, Systems and Technologies. Springer Science and Business Media Deutschland GmbH, 2019. pp. 265-274 (Smart Innovation, Systems and Technologies).
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