Buscar en RiuNet

Listar

Todo RiuNet

Mi cuenta

Acceder

Ayuda RiuNet

Admin. UPV

Listar por palabra clave "Histopathological images"

Mostrando ítems 1-5 de 5

A novel self-learning framework for bladder cancer grading using histopathological images

García-Pardo, José Gabriel; Esteve, Anna; Colomer, Adrián; Ramos, David; Naranjo Ornedo, Valeriana (Elsevier, 2021-11)

[EN] In recent times, bladder cancer has increased significantly in terms of incidence and mortality. Currently, two subtypes are known based on tumour growth: non-muscle invasive (NMIBC) and muscle-invasive bladder cancer ...
A TV-based image processing framework for blind color deconvolution and classification of histological images

Pérez-Bueno, Fernando; López-Pérez, Miguel; Vega, Miguel; Mateos, Javier; Naranjo Ornedo, Valeriana; Molina, Rafael; Katsaggelos, Aggelos K. (Elsevier, 2020-06)

[EN] In digital histopathological image analysis, two conflicting objectives are often pursued: closeness to the original tissue and high classification performance. The former objective tries to recover images (stains) ...
Deep learning strategies for histological image retrieval

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 ...
Toward More Transparent and Accurate Cancer Diagnosis With an Unsupervised CAE Approach

Tabatabaei, Zahra; Colomer, Adrián; Oliver Moll, Javier; Naranjo Ornedo, Valeriana (Institute of Electrical and Electronics Engineers, 2023-12-18)

[EN] According to the Global Cancer Observatory, 2020, breast cancer is the most prevalent cancer type in both genders (11.7%), while prostate cancer is the second most common cancer type in men (14.1%). In digital pathology, ...
WWFedCBMIR: World-Wide Federated Content-Based Medical Image Retrieval

Tabatabaei, Zahra; Wang, Yuandou; Colomer, Adrián; Oliver Moll, Javier; Zhao, Zhiming; Naranjo Ornedo, Valeriana (MDPI AG, 2023-09-28)

[EN] The paper proposes a federated content-based medical image retrieval (FedCBMIR) tool that utilizes federated learning (FL) to address the challenges of acquiring a diverse medical data set for training CBMIR models. ...