Lightweight Deep Learning Classification Model for Identifying Low-Resolution CT Images of Lung Cancer.

Marappan, Shanmugasundaram; Mujib, Muhammad Danish; Siddiqui, Adnan Ahmed; Aziz, Abdul; Khan, Samiullah; Singh, Mahesh

Marappan, Shanmugasundaram; Mujib, Muhammad Danish; Siddiqui, Adnan Ahmed; Aziz, Abdul; Khan, Samiullah; Singh, Mahesh.

Afiliación

Marappan S; Department of Computer Science, College of Computer Science & Information Technology, Jazan University, Jizan, Saudi Arabia.
Mujib MD; Department of Biomedical Engineering, NED University of Engineering and Technology, Karachi, Pakistan.
Siddiqui AA; Department of Computing, FEST Hamdard University, Karachi, Pakistan.
Aziz A; Department of Software Engineering, National University of Computer and Emerging Sciences, Karachi, Pakistan.
Khan S; Department of Maths, Stats & Computer Science, The University of Agriculture Peshawar, Peshawar, Pakistan.
Singh M; Kebri Dehar University, Kebri Dahar, Ethiopia.

Comput Intell Neurosci ; 2022: 3836539, 2022.

Article en En | MEDLINE | ID: mdl-36082344

Asunto(s)

Adenocarcinoma; Aprendizaje Profundo; Neoplasias Pulmonares; Adenocarcinoma/patología; Femenino; Humanos; Neoplasias Pulmonares/diagnóstico por imagen; Masculino; Invasividad Neoplásica; Estudios Retrospectivos; Tomografía Computarizada por Rayos X/métodos

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Adenocarcinoma / Aprendizaje Profundo / Neoplasias Pulmonares Tipo de estudio: Observational_studies / Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Arabia Saudita

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