Tabatabaei, Zahra(Universitat Politècnica de València, 2024-09-02)
[ES] Según World Health Organization (WHO), el cáncer es una de las principales causas de muerte a nivel mundial, con cerca de 10 millones de fallecimientos en 2020. Esto significa que aproximadamente una de cada seis ...
Beser Robles, María(Universitat Politècnica de València, 2020-07-15)
[ES] El presente TFG pretende abordar el desarrollo de un algoritmo de clasificación capaz de catalogar de manera automática muestras histológicas de tejido prostático. El desarrollo de un sistema automático fiable necesita ...
Schmidt, Arne; Silva-Rodríguez, Julio; Molina, Rafael; Naranjo Ornedo, Valeriana(Institute of Electrical and Electronics Engineers, 2022)
[EN] The annotation of large datasets is often the bottleneck in the successful application of artificial intelligence in computational pathology. For this reason recently Multiple Instance Learning (MIL) and Semi Supervised ...
Alfaro Ferreres, Luis; Roca, María José(Editorial Universitat Politècnica de València, 2019-09-30)
[EN] Learning practical skills of pathology at the university programs gets huge
benefits from the application of digital methodology. It is based on the
scanning of microscopic glass slides to obtain high resolution and ...
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 ...