Automated detection of tumor regions from oral histological whole slide images using fully convolutional neural networks-Reference-Cited by-同舟云学术

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Automated detection of tumor regions from oral histological whole slide images using fully convolutional neural networks

Published:2021-08 Issue: Volume:69 Page:102921
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

dos Santos Dalí F.D.,de Faria Paulo R.,Travençolo Bruno A.N.,do Nascimento Marcelo Z.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference54 articles.

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2. INCA, Instituto Nacional de Câncer José Alencar Gomes da Silva (INCA), 2020. URL: https://www.inca.gov.br/tipos-de-cancer/cancer-de-boca.

3. Use of artificial intelligence in diagnosis of head and neck precancerous and cancerous lesions: A systematic review;Mahmood;Oral Oncol.,2020

4. Novel prognostic histopathological grading system in oral squamous cell carcinoma based on tumour budding and cell nest size shows high interobserver and intraobserver concordance;Boxberg;J. Clin. Pathol.,2019

5. Alcohol drinking in never users of tobacco, cigarette smoking in never drinkers, and the risk of head and neck cancer: pooled analysis in the international head and neck cancer epidemiology consortium;Hashibe;JNCI: J. Natl. Cancer Inst.,2007

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3. Tumor Segmentation on Whole Slide Images: Training or Prompting?;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

4. Digital Pathology Image Reconstruction with Alternating Direction Method of Multipliers using Wavelet, Contourlet and Shearlet Transforms;Turkish Journal of Science and Technology;2024-03-28

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