TY  - GEN 
AU  - López Pérez, Miguel
AU  - Morquecho, Alba
AU  - Schmidt, Arne
AU  - Pérez Bueno, Fernando
AU  - Martín Castro, Aurelio
AU  - Mateos Delgado, Javier
AU  - Molina Soriano, Rafael
PY  - 2024
UR  - https://hdl.handle.net/10481/97072
AB  - Background: Currently, prostate cancer (PCa) diagnosis relies on the human analysis of prostate biopsy
Whole Slide Images (WSIs) using the Gleason score. Since this process is error-prone and time-consuming,
recent advances in machine learning have...
LA  - eng
PB  - Elsevier
KW  - Computational pathology
KW  - Crowdsourcing
KW  - Prostate cancer
TI  - The CrowdGleason dataset: Learning the Gleason grade from crowds and experts✩
DO  - 10.1016/j.cmpb.2024.108472
ER  -