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Literature review: efficient deep neural networks techniques for medical image analysis
Literature review: efficient deep neural networks techniques for medical image analysis
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Literature review: efficient deep neural networks techniques for medical image analysis

Abdou, Mohamed A.

Neural computing & applications, 2022-04, Vol.34 (8), p.5791-5812 [Periódico revisado por pares]

London: Springer London

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Grey wolf optimizer: a review of recent variants and applications
Grey wolf optimizer: a review of recent variants and applications
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Grey wolf optimizer: a review of recent variants and applications

Faris, Hossam ; Aljarah, Ibrahim ; Al-Betar, Mohammed Azmi ; Mirjalili, Seyedali

Neural computing & applications, 2018-07, Vol.30 (2), p.413-435 [Periódico revisado por pares]

London: Springer London

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3
SESF-Fuse: an unsupervised deep model for multi-focus image fusion
SESF-Fuse: an unsupervised deep model for multi-focus image fusion
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SESF-Fuse: an unsupervised deep model for multi-focus image fusion

Ma, Boyuan ; Zhu, Yu ; Yin, Xiang ; Ban, Xiaojuan ; Huang, Haiyou ; Mukeshimana, Michele

Neural computing & applications, 2021-06, Vol.33 (11), p.5793-5804 [Periódico revisado por pares]

London: Springer London

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4
Enhanced balancing GAN: minority-class image generation
Enhanced balancing GAN: minority-class image generation
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Enhanced balancing GAN: minority-class image generation

Huang, Gaofeng ; Jafari, Amir Hossein

Neural computing & applications, 2023-03, Vol.35 (7), p.5145-5154 [Periódico revisado por pares]

London: Springer London

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5
A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians
A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians
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A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians

Fernandes, Steven Lawrence ; Tanik, U. John ; Rajinikanth, V. ; Karthik, K. Arvind

Neural computing & applications, 2020-10, Vol.32 (20), p.15897-15908 [Periódico revisado por pares]

London: Springer London

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6
Salp swarm algorithm: a comprehensive survey
Salp swarm algorithm: a comprehensive survey
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Salp swarm algorithm: a comprehensive survey

Abualigah, Laith ; Shehab, Mohammad ; Alshinwan, Mohammad ; Alabool, Hamzeh

Neural computing & applications, 2020-08, Vol.32 (15), p.11195-11215 [Periódico revisado por pares]

London: Springer London

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7
An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network
An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network
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An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network

Hemanth, D. Jude ; Deperlioglu, Omer ; Kose, Utku

Neural computing & applications, 2020-02, Vol.32 (3), p.707-721 [Periódico revisado por pares]

London: Springer London

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8
Deep learning techniques to classify agricultural crops through UAV imagery: a review
Deep learning techniques to classify agricultural crops through UAV imagery: a review
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Deep learning techniques to classify agricultural crops through UAV imagery: a review

Bouguettaya, Abdelmalek ; Zarzour, Hafed ; Kechida, Ahmed ; Taberkit, Amine Mohammed

Neural computing & applications, 2022, Vol.34 (12), p.9511-9536 [Periódico revisado por pares]

London: Springer London

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9
Identifying crop water stress using deep learning models
Identifying crop water stress using deep learning models
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Identifying crop water stress using deep learning models

Chandel, Narendra Singh ; Chakraborty, Subir Kumar ; Rajwade, Yogesh Anand ; Dubey, Kumkum ; Tiwari, Mukesh K. ; Jat, Dilip

Neural computing & applications, 2021-05, Vol.33 (10), p.5353-5367 [Periódico revisado por pares]

London: Springer London

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10
Brain tumor detection: a long short-term memory (LSTM)-based learning model
Brain tumor detection: a long short-term memory (LSTM)-based learning model
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Brain tumor detection: a long short-term memory (LSTM)-based learning model

Amin, Javaria ; Sharif, Muhammad ; Raza, Mudassar ; Saba, Tanzila ; Sial, Rafiq ; Shad, Shafqat Ali

Neural computing & applications, 2020-10, Vol.32 (20), p.15965-15973 [Periódico revisado por pares]

London: Springer London

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