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pro vyhledávání: '"TARIQ, M"'
Retinal imaging has emerged as a promising method of addressing this challenge, taking advantage of the unique structure of the retina. The retina is an embryonic extension of the central nervous system, providing a direct in vivo window into neurolo
Externí odkaz:
http://arxiv.org/abs/2407.18970
Retinal diseases can cause irreversible vision loss in both eyes if not diagnosed and treated early. Since retinal diseases are so complicated, retinal imaging is likely to show two or more abnormalities. Current deep learning techniques for segmenti
Externí odkaz:
http://arxiv.org/abs/2407.02871
Accurate segmentation of anatomical structures and abnormalities in medical images is crucial for computer-aided diagnosis and analysis. While deep learning techniques excel at this task, their computational demands pose challenges. Additionally, som
Externí odkaz:
http://arxiv.org/abs/2405.17520
Segmentation is an important task in a wide range of computer vision applications, including medical image analysis. Recent years have seen an increase in the complexity of medical image segmentation approaches based on sophisticated convolutional ne
Externí odkaz:
http://arxiv.org/abs/2312.10585
Autor:
Abbasi, Mufassir M., Iqbal, Shahzaib, Naveed, Asim, Khan, Tariq M., Naqvi, Syed S., Khalid, Wajeeha
Blinding eye diseases are often correlated with altered retinal morphology, which can be clinically identified by segmenting retinal structures in fundus images. However, current methodologies often fall short in accurately segmenting delicate vessel
Externí odkaz:
http://arxiv.org/abs/2309.04968
Diseases such as diabetic retinopathy and age-related macular degeneration pose a significant risk to vision, highlighting the importance of precise segmentation of retinal vessels for the tracking and diagnosis of progression. However, existing vess
Externí odkaz:
http://arxiv.org/abs/2309.03535
Skin cancer holds the highest incidence rate among all cancers globally. The importance of early detection cannot be overstated, as late-stage cases can be lethal. Classifying skin lesions, however, presents several challenges due to the many variati
Externí odkaz:
http://arxiv.org/abs/2306.07300
In this study, we propose LDMRes-Net, a lightweight dual-multiscale residual block-based computational neural network tailored for medical image segmentation on IoT and edge platforms. Conventional U-Net-based models face challenges in meeting the sp
Externí odkaz:
http://arxiv.org/abs/2306.06145
Autor:
Mufassir Matloob Abbasi, Shahzaib Iqbal, Khursheed Aurangzeb, Musaed Alhussein, Tariq M. Khan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Blinding eye diseases are often related to changes in retinal structure, which can be detected by analysing retinal blood vessels in fundus images. However, existing techniques struggle to accurately segment these delicate vessels. Although
Externí odkaz:
https://doaj.org/article/69cf44581bf2450b85b6e3a74ef8e2f2