CNN Ensembles for Nuclei Segmentation on Histological Images of OED-Reference-Cited by-同舟云学术

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CNN Ensembles for Nuclei Segmentation on Histological Images of OED

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)
language:
Short-container-title:

Author:

Silva Adriano B.¹,Rozendo Guilherme B.²,Tosta Thaína A. A.³,Martins Alessandro S.⁴,Loyola Adriano M.⁵,Cardoso Sérgio V.⁵,Lumini Alessandra⁶,Neves Leandro A.²,de Faria Paulo R.⁷,Nascimento Marcelo Z. do¹

Affiliation:

1. Federal University of Uberlândia,Faculty of Computer Science,Brazil

2. São Paulo State University,Department of Computer Science and Statistics (DCCE),Brazil

3. Science and Technology Institute, Federal University of São Paulo,Brazil

4. Federal Institute of Triângulo Mineiro

5. School of Dentistry, Federal University of Uberlândia,Area of Oral Pathology,Brazil

6. University of Bologna,Department of Computer Science and Engineering (DISI),Italy

7. Institute of Biomedical Science, Federal University of Uberlândia,Department of Histology and Morphology,Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10178426/10178704/10178725.pdf?arnumber=10178725

Reference24 articles.

1. Feature Pyramid Networks for Object Detection

2. Dual U-Net for the Segmentation of Overlapping Glioma Nuclei

3. Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic

4. Swin Transformer Assisted Prior Attention Network for Medical Image Segmentation

5. Probability-based Mask R-CNN for pulmonary embolism detection

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