Survey on retinal vessel segmentation

Multimedia Tools and Applications, Год журнала: 2024, Номер unknown

Опубликована: Май 2, 2024

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Deep learning technology in vascular image segmentation and disease diagnosis

Journal of intelligent medicine., Год журнала: 2024, Номер unknown

Опубликована: Сен. 24, 2024

Abstract Blood vessel segmentation is a crucial aspect of medical image processing, aiding professionals in more accurate disease analysis and diagnosis. Manual blood methods are time‐consuming cumbersome, making the development automatic essential. The rapid advancements deep learning technology have introduced new tools for vascular segmentation. In this review, we provide comprehensive overview learning‐based across various fields, including retinal segmentation, cerebrovascular pulmonary Several prevalent diseases, such as tumors, posed significant health challenges globally. This review also discusses application diagnosis within these contexts. Finally, considering current research landscape, discuss existing potential future developments We aim to assist researchers gaining understanding designing effective models, ultimately offering opportunities early treatment.

Язык: Английский

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Diabetic retinopathy data augmentation and vessel segmentation through deep learning based three fully convolution neural networks

Image and Vision Computing, Год журнала: 2024, Номер unknown, С. 105284 - 105284

Опубликована: Сен. 1, 2024

Язык: Английский

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SIL-Net: A Semi-Isotropic L-shaped network for dermoscopic image segmentation

Computers in Biology and Medicine, Год журнала: 2022, Номер 150, С. 106146 - 106146

Опубликована: Сен. 27, 2022

Язык: Английский

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A novel CNN Architecture with an efficient Channelization for Histopathological Medical Image Classification

Multimedia Tools and Applications, Год журнала: 2023, Номер 83(6), С. 17983 - 18003

Опубликована: Июль 18, 2023

Язык: Английский

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