Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Valery Naranjo"'
Autor:
Andrés Mosquera-Zamudio, Laëtitia Launet, Rocío del Amor, Anaïs Moscardó, Adrián Colomer, Valery Naranjo, Carlos Monteagudo
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-7 (2023)
Abstract Spitzoid tumors (ST) are a group of melanocytic tumors of high diagnostic complexity. Since 1948, when Sophie Spitz first described them, the diagnostic uncertainty remains until now, especially in the intermediate category known as Spitz tu
Externí odkaz:
https://doaj.org/article/e0f3faeba6fa482da828995bf272eadb
Autor:
Zahra Tabatabaei, Fernando Pérez Bueno, Adrián Colomer, Javier Oliver Moll, Rafael Molina, Valery Naranjo
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 2063 (2024)
Content-Based Histopathological Image Retrieval (CBHIR) is a search technique based on the visual content and histopathological features of whole-slide images (WSIs). CBHIR tools assist pathologists to obtain a faster and more accurate cancer diagnos
Externí odkaz:
https://doaj.org/article/ddda1fe3029d411b89f844c8cc812078
Publikováno v:
IEEE Access, Vol 11, Pp 143387-143401 (2023)
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, Content-Based Medical Image R
Externí odkaz:
https://doaj.org/article/2da287ddeef94048b225795388bd2150
Autor:
Zahra Tabatabaei, Yuandou Wang, Adrián Colomer, Javier Oliver Moll, Zhiming Zhao, Valery Naranjo
Publikováno v:
Bioengineering, Vol 10, Iss 10, p 1144 (2023)
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. CBMIR is a tool to find the most s
Externí odkaz:
https://doaj.org/article/f74cf3ed35414f359e318f195a5f403f
Publikováno v:
IEEE Access, Vol 10, Pp 9763-9773 (2022)
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 Learning (SSL) approaches are
Externí odkaz:
https://doaj.org/article/1c0d27475d584447ae288c6d770ccade
Autor:
Laëtitia Launet, Yuandou Wang, Adrián Colomer, Jorge Igual, Cristian Pulgarín-Ospina, Spiros Koulouzis, Riccardo Bianchi, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo, Zhiming Zhao
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 919 (2023)
Deep learning-based algorithms have led to tremendous progress over the last years, but they face a bottleneck as their optimal development highly relies on access to large datasets. To mitigate this limitation, cross-silo federated learning has emer
Externí odkaz:
https://doaj.org/article/1efbf6ae12c34873b162e6bc3f1d2c77
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-14 (2019)
Abstract This work describes a new hybrid method for accurate iris segmentation from full-face images independently of the ethnicity of the subject. It is based on a combination of three methods: facial key-point detection, integro-differential opera
Externí odkaz:
https://doaj.org/article/5585b65370c443599058dbf8862c647f
Autor:
Andres Diaz-Pinto, Sandra Morales, Valery Naranjo, Thomas Köhler, Jose M. Mossi, Amparo Navea
Publikováno v:
BioMedical Engineering OnLine, Vol 18, Iss 1, Pp 1-19 (2019)
Abstract Background Most current algorithms for automatic glaucoma assessment using fundus images rely on handcrafted features based on segmentation, which are affected by the performance of the chosen segmentation method and the extracted features.
Externí odkaz:
https://doaj.org/article/3b065f9dbb214648a433a3944e19371f
Publikováno v:
i-Perception, Vol 11 (2020)
Facial information is processed by our brain in such a way that we immediately make judgments about, for example, attractiveness or masculinity or interpret personality traits or moods of other people. The appearance of each facial feature has an eff
Externí odkaz:
https://doaj.org/article/e374eaec194345c8a58d3636015827ec
Autor:
Rocío del Amor, Sandra Morales, Adrián Colomer, Mette Mogensen, Mikkel Jensen, Niels M. Israelsen, Ole Bang, Valery Naranjo
Publikováno v:
Frontiers in Medicine, Vol 7 (2020)
Optical coherence tomography (OCT) is a well-established bedside imaging modality that allows analysis of skin structures in a non-invasive way. Automated OCT analysis of skin layers is of great relevance to study dermatological diseases. In this pap
Externí odkaz:
https://doaj.org/article/0ca7e6d7aa06452f9d0348b2bec4df34