Novel Pixelwise Co-Registered Hematoxylin-Eosin and Multiphoton Microscopy Image Dataset for Human Colon Lesion Diagnosis

Autor: Artzai Picon, Elena Terradillos, Luisa F. Sánchez-Peralta, Sara Mattana, Riccardo Cicchi, Benjamin J. Blover, Nagore Arbide, Jacques Velasco, Mª Carmen Etzezarraga, Francesco S. Pavone, Estibaliz Garrote, Cristina L. Saratxaga

Publikováno v: Journal of Pathology Informatics, Vol 13, Iss , Pp 100012- (2022)

Colorectal cancer presents one of the most elevated incidences of cancer worldwide. Colonoscopy relies on histopathology analysis of hematoxylin-eosin (H&E) images of the removed tissue. Novel techniques such as multi-photon microscopy (MPM) show pro

Externí odkaz: https://doaj.org/article/387bb5724f564ce98cade2496109f948

Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia.

Autor: Artzai Picon, Unai Irusta, Aitor Álvarez-Gila, Elisabete Aramendi, Felipe Alonso-Atienza, Carlos Figuera, Unai Ayala, Estibaliz Garrote, Lars Wik, Jo Kramer-Johansen, Trygve Eftestøl

Publikováno v: PLoS ONE, Vol 14, Iss 5, p e0216756 (2019)

Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning have been successfully used to detect ventricular fibrillation (V

Externí odkaz: https://doaj.org/article/52ea6fe2aed943c9a56599c05b0085f2

Melanoma Clinical Decision Support System: An Artificial Intelligence-Based Tool to Diagnose and Predict Disease Outcome in Early-Stage Melanoma Patients

Autor: Jose Luis Diaz-Ramón, Jesus Gardeazabal, Rosa Maria Izu, Estibaliz Garrote, Javier Rasero, Aintzane Apraiz, Cristina Penas, Sandra Seijo, Cristina Lopez-Saratxaga, Pedro Maria De la Peña, Ana Sanchez-Diaz, Goikoane Cancho-Galan, Veronica Velasco, Arrate Sevilla, David Fernandez, Iciar Cuenca, Jesus María Cortes, Santos Alonso, Aintzane Asumendi, María Dolores Boyano

Publikováno v: Cancers; Volume 15; Issue 7; Pages: 2174

This study set out to assess the performance of an artificial intelligence (AI) algorithm based on clinical data and dermatoscopic imaging for the early diagnosis of melanoma, and its capacity to define the metastatic progression of melanoma through

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08a9f0331458a451820af8b2979059ac
http://hdl.handle.net/10810/60954

Characterization of Optical Coherence Tomography Images for Colon Lesion Differentiation under Deep Learning

Autor: Nagore Arbide del Río, Olga M. Conde, Juan Francisco Ortega-Morán, Artzai Picon, Nagore Andraka, Estibaliz Garrote, Elena Terradillos, Cristina L. Saratxaga, Jorge Bote

Publikováno v: TECNALIA Publications
Fundación Tecnalia Research & Innovation
Applied Sciences
Volume 11
Issue 7
Applied Sciences, Vol 11, Iss 3119, p 3119 (2021)
Applied Sciences, 2021, 11(7), 3119
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)

(1) Background: Clinicians demand new tools for early diagnosis and improved detection of colon lesions that are vital for patient prognosis. Optical coherence tomography (OCT) allows microscopical inspection of tissue and might serve as an optical b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20c440aff1f2e2f10d2c656203fd1c9e
http://hdl.handle.net/11556/1106

Automatic pigmented lesion segmentation through a dermoscopy-guided OCT approach for early diagnosis

Autor: Olga M. Conde, Aintzane Asumendi, Estibaliz Garrote, Cristina López Sarachaga, Maria Celia Morales, Mª Dolores Boyano, Sergio Lage

Publikováno v: Procedings of SPIE, 2019, 10851, 108510K
Photonics in Dermatology and Plastic Surgery, San Francisco, California, USA, 2019
UCrea Repositorio Abierto de la Universidad de Cantabria
Universidad de Cantabria (UC)

Early diagnosis of pigmented lesions, specially melanoma, is an unmet clinical need that would help to improve patient prognosis. Apart from histopathological biopsy, the only gold standard non-invasive imaging technique during diagnosis is dermatosc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bf9de0276f1737d3b6831209bc1d41a
https://doi.org/10.1117/12.2508002