Segmentation of cervical nuclei using convolutional neural network for conventional cytology-Reference-Cited by-同舟云学术

Segmentation of cervical nuclei using convolutional neural network for conventional cytology

Published:2023-04-05 Issue:5 Volume:11 Page:1876-1888
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:

Teixeira Júlia Beatriz A.¹,Rezende Mariana T.²,Diniz Débora N.¹,Carneiro Cláudia M.²,Luz Eduardo J. da S.¹,Souza Marcone J. F.¹,Ushizima Daniela M.³,de Medeiros Fátima N. S.⁴,Bianchi Andrea G. Campos¹

Affiliation:

1. Departamento de Computação, Universidade Federal de Ouro Preto, Ouro Preto-MG, Brazil

2. Departamento de Análises Clínicas, Universidade Federal de Ouro Preto, Ouro Preto-MG, Brazil

3. Department of Energy, University of California - Berkeley, Berkeley CA, USA

4. Departamento de Engenharia de Teleinformática, Universidade Federal do Ceará, Fortaleza, CE, Brazil

Funder

Ministry of Health

Office of Science

U.S. Department of Energy

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2197086

Reference44 articles.

1. Deep learning for cell image segmentation and ranking

2. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

3. Beliefs and perceptions regarding cervical cancer and screening associated with Pap smear uptake in Johannesburg: A cross-sectional study

4. An ensemble method for nuclei detection of overlapping cervical cells

5. CNN based segmentation of nuclei in PAP-smear images with selective pre-processing