LPCANet: Classification of Laryngeal Cancer Histopathological Images Using a CNN with Position Attention and Channel Attention Mechanisms.

Zhou, Xiaoli; Tang, Chaowei; Huang, Pan; Mercaldo, Francesco; Santone, Antonella; Shao, Yanqing

Zhou, Xiaoli; Tang, Chaowei; Huang, Pan; Mercaldo, Francesco; Santone, Antonella; Shao, Yanqing.

Afiliação

Zhou X; School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, 400044, China.
Tang C; School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, 400044, China. cwtang@cqu.edu.cn.
Huang P; School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, 400044, China. panhuang@cqu.edu.cn.
Mercaldo F; Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, 86100, Campobasso, Italy.
Santone A; Department of Medicine and Health Sciences "Vincenzo Tiberio", University of Molise, 86100, Campobasso, Italy.
Shao Y; Communication Engineering Department, Chongqing College of Electronic Engineering, Chongqing, 401331, China.

Interdiscip Sci ; 13(4): 666-682, 2021 Dec.

Article em En | MEDLINE | ID: mdl-34138403

Assuntos

Neoplasias Laríngeas; Algoritmos; Humanos; Processamento de Imagem Assistida por Computador; Redes Neurais de Computação

Palavras-chave

Channel attention mechanism; Grad_CAM; Histopathological images; Interpretability; Laryngeal cancer classification; Position attention mechanism

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Laríngeas Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Laríngeas Idioma: En Ano de publicação: 2021 Tipo de documento: Article