Multilevel CNN for Angle Closure Glaucoma Detection using AS-OCT Images

Ferreira, Marcos Melo; Esteve, Giovanna Pavani; Bráz, Geraldo; Almeida, João Dallyson Sousa de; Paiva, Anselmo Cardoso de; Veras, Rodrigo

doi:10.1109/iwssip48289.2020.9145110

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…External optimization technique is required. Multilevel CNN [17] [18] Their approach performed well, then normal CNN model. Their model cannot extract feature from iris region in some cases.…”

Section: Methods Implemented In Each Workmentioning

confidence: 98%

“…Also, they adapted hybrid firefly CNN method for decreasing processing time and it shows more effective result. Anselmo Cardoso de Paiva et al [17], developed a deep learning-based angle closure glaucoma detection system which utilizes multi-level CNN architecture. They combine the CNN model and transfer learning to extract visual feature from OCT images.…”

Section: Recent Workmentioning

confidence: 99%

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Understanding and Visualization of Different Feature Extraction Processes in Glaucoma Detection

Krishna¹,

Nagamani²

2022

J. Phys.: Conf. Ser.

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In the recent years the usage of mobile phone is increased and it is the major reason for cause of vision loss in several people. The continuous usage increases pressure inside optic nerve head and it leads to glaucoma disease. Also, there are lot of other reasons which leads to the cause of glaucoma. The purpose of this paper is to determine the importance of feature extraction process in glaucoma detection and implementation of different techniques for extracting convenient features for training machine learning model using pre-processed OCT (Optical Coherence Tomography) images. The two major feature extraction techniques narrated in this paper are convolutional neural network (CNN) model-based feature extraction and image processing model-based feature extraction. A performance analysis was conducted to find best feature extraction technique and both techniques performed well.

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Section: Methods Implemented In Each Workmentioning

confidence: 98%

Section: Recent Workmentioning

confidence: 99%

Understanding and Visualization of Different Feature Extraction Processes in Glaucoma Detection

Krishna¹,

Nagamani²

2022

J. Phys.: Conf. Ser.

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“…Recentemente, a Inteligência Artificial tem sido amplamente empregada por meio de diversas aplicac ¸ões em diferentes áreas, que vão desde a criac ¸ão de ferramentas para auxílio de diagnóstico de doenc ¸as por meio exames de imagem [Ferreira et al, 2020],…”

Section: Introduc ¸ãOunclassified

Acionamento de Dispositivos Eletroeletrônicos Utilizando Visão Computacional

Ferreira¹,

Matos²

2022

Minicursos Da ERCEMAPI 2022

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Computer Vision has been widely used in developing industry, medicine, automation, and public safety tools. Due to the current relevance of the topic, a mini-course on the theme "Acionamento de Dispositivos Eletroeletrônicos Utilizando Visão Computacional"was accepted to be presented at the tenth Escola Regional de Computac ¸ão Ceará, Maranhão e Piauí (ERCEMAPI), held between September 28 and 30, 2022 in São Luis Maranhão. This mini-course aims to present a method that allows computer vision techniques to control electronic devices. The mini-course is expected to arouse participants' interest in developing projects in which knowledge in Artificial Intelligence and Electronics is used. ResumoA Visão Computacional tem sido amplamente utilizada no desenvolvimento de ferramentas utilizadas na indústria, medicina, automac ¸ão e seguranc ¸a pública. Devido a relevância atual do tema foi proposto o minicurso "Acionamento de Dispositivos Eletroeletrônicos Utilizando Visão Computacional", aceito para ministrac ¸ão na décima Escola Regional de Computac ¸ão Ceará, Maranhão e Piauí (ERCEMAPI), realizada entre os dias 28 e 30 de Setembro de 2022 em São Luís, Maranhão. Este minicurso tem como objetivo principal apresentar um método que possibilite a utilizac ¸ão de técnicas de visão computacional para controle de dispositivos eletroeletrônicos. Espera-se que o minicurso desperte o interesse dos participantes em desenvolver projetos em que sejam empregados conhecimentos das áreas de Inteligência Artificial e Eletroeletrônica. Introduc ¸ãoRecentemente, a Inteligência Artificial tem sido amplamente empregada por meio de diversas aplicac ¸ões em diferentes áreas, que vão desde a criac ¸ão de ferramentas para auxílio de diagnóstico de doenc ¸as por meio exames de imagem [Ferreira et al., 2020],

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