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Listar por palabra clave "Digital pathology"

Mostrando ítems 1-6 de 6

Análisis digital preliminar de adenocarcinoma pancreático

Rubio Soria, Raquel (Universitat Politècnica de València, 2023-07-21)

[ES] En los últimos años, se ha podido observar un análisis digital microscópico más evidente de la oncología a través de la patología digital, la cual cada vez desempeña un papel más importante en la práctica clínica. De ...
Artificial intelligence in computational pathology - challenges and future directions

Morales, Sandra; Engan, Kjersti; Naranjo Ornedo, Valeriana (Elsevier, 2021-12)

[EN] The field of digital histopathology has seen incredible growth in recent years. Digital pathology is becoming a relevant tool in healthcare, industrial and research sectors to reduce the saturation of pathology ...
Deep Learning Strategies for Overcoming Diagnosis Challenges with Limited Annotations

Amor del Amor, María Rocío del (Universitat Politècnica de València, 2023-11-27)

[ES] En los últimos años, el aprendizaje profundo (DL) se ha convertido en una de las principales áreas de la inteligencia artificial (IA), impulsado principalmente por el avance en la capacidad de procesamiento. Los ...
Labeling confidence for uncertainty-aware histology image classification

del Amor, Rocío; Silva-Rodríguez, Julio; Naranjo Ornedo, Valeriana (Elsevier, 2023-07)

[EN] Deep learning-based models applied to digital pathology require large, curated datasets with high-quality (HQ) annotations to perform correctly. In many cases, recruiting expert pathologists to annotate large databases ...
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. ...