Evaluation of statistical and Haralick texture features for lymphoma histological images classification-Reference-Cited by-同舟云学术

Evaluation of statistical and Haralick texture features for lymphoma histological images classification

Published:2021-03-29 Issue:6 Volume:9 Page:613-624
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Azevedo Tosta Thaína A.¹²,de Faria Paulo R.³,Neves Leandro A.⁴,do Nascimento Marcelo Z.⁵

Affiliation:

1. Center of Mathematics, Computer Science and Cognition, Federal University of ABC (UFABC), Santo André, Brazil

2. Science and Technology Institute, Federal University of São Paulo (UNIFESP), São José dos Campos, Brazil

3. Department of Histology and Morphology, Institute of Biomedical Science, Federal University of Uberlândia (UFU), Uberlândia, Brazil

4. Department of Computer Science and Statistics, São Paulo State University (UNESP), São José do Rio Preto, Brazil

5. Faculty of Computer Science, Federal University of Uberlândia (UFU), Uberlândia, Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

Reference54 articles.

1. American Cancer Society. 2019. Cancer facts & figures 2019. Atlanta: American Cancer Society. [accessed 2021 Jan 08]. https://bit.ly/2D8pxRF.

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