Nov 1, 2023 · A new two-phase deep convolutional neural network (CNN) based diagnostic system is proposed to detect minute irregularities and analyze COVID-19 infection.
In the first phase, a novel SB-STM-BRNet CNN is developed, incorporating a new channel Squeezed and Boosted (SB) and dilated convolutional-based ...
A new two-phase deep convolutional neural network (CNN) based diagnostic system is proposed to detect minute irregularities and analyze COVID-19 infection.
In this regard, a new two-phase deep convolutional neural network (CNN) based diagnostic system is proposed to detect minute irregularities and analyze COVID-19 ...
May 19, 2023 · In the first phase, a novel SB-STM-BRNet CNN is developed, incorporating a new channel Squeezed and Boosted (SB) and dilated convolutional-based ...
Dec 9, 2023 · A deep CNN-based analysis system is developed to detect and diagnose lung infections in CT scans and identify the severity of COVID-19. The ...
Sep 26, 2022 · In the first phase, a novel SB-STM-BRNet CNN is proposed, incorporating a new channel Squeezed and Boosted (SB) and dilated convolutional-based ...
Nov 1, 2023 · In the first phase, a novel SB-STM-BRNet CNN is developed, incorporating a new channel Squeezed and Boosted (SB) and dilated convolutional-based ...
A deep CNN-based diagnostic system is developed for detecting COVID-19 infection and analyzing suspicious lesions in CT Lungs images to identify the severity ...
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May 8, 2024 · The research presents a new CNN-based diagnosis approach for automated COVID-19 abnormality analysis in lung CT. The framework is structured ...