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pro vyhledávání: '"Shahabodini, Sajjad"'
Autor:
Mansoori, Mobina, Shahabodini, Sajjad, Abouei, Jamshid, Plataniotis, Konstantinos N., Mohammadi, Arash
Early diagnosis and treatment of polyps during colonoscopy are essential for reducing the incidence and mortality of Colorectal Cancer (CRC). However, the variability in polyp characteristics and the presence of artifacts in colonoscopy images and vi
Externí odkaz:
http://arxiv.org/abs/2409.09484
Autor:
Mansoori, Mobina, Shahabodini, Sajjad, Abouei, Jamshid, Plataniotis, Konstantinos N., Mohammadi, Arash
Polyp segmentation plays a crucial role in the early detection and diagnosis of colorectal cancer. However, obtaining accurate segmentations often requires labor-intensive annotations and specialized models. Recently, Meta AI Research released a gene
Externí odkaz:
http://arxiv.org/abs/2408.05892
Autor:
Mansoori, Mobina, Shahabodini, Sajjad, Abouei, Jamshid, Mohammadi, Arash, Plataniotis, Konstantinos N.
Digital pathology involves converting physical tissue slides into high-resolution Whole Slide Images (WSIs), which pathologists analyze for disease-affected tissues. However, large histology slides with numerous microscopic fields pose challenges for
Externí odkaz:
http://arxiv.org/abs/2402.10851
Akademický článek
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Publikováno v:
Transactions on Emerging Telecommunications Technologies; Jan2024, Vol. 35 Issue 1, p1-14, 14p