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Browsing by Subject "Weakly supervised"

Now showing items 1-2 of 2

Self-learning for weakly supervised Gleason grading of local patterns

Silva-Rodríguez, Julio; Colomer, Adrián; Dolz, Jose; Naranjo Ornedo, Valeriana (Institute of Electrical and Electronics Engineers, 2021-08)

[EN] Prostate cancer is one of the main diseases affecting men worldwide. The gold standard for diagnosis and prognosis is the Gleason grading system. In this process, pathologists manually analyze prostate histology slides ...
WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images

Silva-Rodríguez, Julio; Colomer, Adrián; Naranjo Ornedo, Valeriana (Elsevier, 2021-03)

[EN] Background and objective: Prostate cancer is one of the main diseases affecting men worldwide. The Gleason scoring system is the primary diagnostic tool for prostate cancer. This is obtained via the visual analysis ...

Now showing items 1-2 of 2