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pro vyhledávání: '"Raza, Manahil"'
Autor:
Jahanifar, Mostafa, Raza, Manahil, Xu, Kesi, Vuong, Trinh, Jewsbury, Rob, Shephard, Adam, Zamanitajeddin, Neda, Kwak, Jin Tae, Raza, Shan E Ahmed, Minhas, Fayyaz, Rajpoot, Nasir
Deep learning models have exhibited exceptional effectiveness in Computational Pathology (CPath) by tackling intricate tasks across an array of histology image analysis applications. Nevertheless, the presence of out-of-distribution data (stemming fr
Externí odkaz:
http://arxiv.org/abs/2310.19656
Some major challenges associated with the automated processing of whole slide images (WSIs) includes their sheer size, different magnification levels and high resolution. Utilizing these images directly in AI frameworks is computationally expensive d
Externí odkaz:
http://arxiv.org/abs/2302.09682
Autor:
Dawood, Muhammad, Bashir, Raja Muhammad Saad, Deshpande, Srijay, Raza, Manahil, Shephard, Adam
Identification and quantification of nuclei in colorectal cancer haematoxylin \& eosin (H\&E) stained histology images is crucial to prognosis and patient management. In computational pathology these tasks are referred to as nuclear segmentation, cla
Externí odkaz:
http://arxiv.org/abs/2203.02510
Publikováno v:
In Computerized Medical Imaging and Graphics December 2024 118
