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pro vyhledávání: '"Manoochehri, Hamid"'
Self-supervised learning has become a cornerstone in various areas, particularly histopathological image analysis. Image augmentation plays a crucial role in self-supervised learning, as it generates variations in image samples. However, traditional
Externí odkaz:
http://arxiv.org/abs/2410.17514
Autor:
Zhang, Bodong, Manoochehri, Hamid, Ho, Man Minh, Fooladgar, Fahimeh, Chong, Yosep, Knudsen, Beatrice S., Sirohi, Deepika, Tasdizen, Tolga
Histopathological image classification is an important task in medical image analysis. Recent approaches generally rely on weakly supervised learning due to the ease of acquiring case-level labels from pathology reports. However, patch-level classifi
Externí odkaz:
http://arxiv.org/abs/2312.06978
Autor:
Ferrero, Alessandro, Ghelichkhan, Elham, Manoochehri, Hamid, Ho, Man Minh, Albertson, Daniel J., Brintz, Benjamin J., Tasdizen, Tolga, Whitaker, Ross T., Knudsen, Beatrice S.
Publikováno v:
In Modern Pathology April 2024 37(4)
