Cargando…
Deep Learning-Based Retrieval System for Gigapixel Histopathology Cases and the Open Access Literature
BACKGROUND: The introduction of digital pathology into clinical practice has led to the development of clinical workflows with digital images, in connection with pathology reports. Still, most of the current work is time-consuming manual analysis of image areas at different scales. Links with data i...
Autores principales: | Schaer, Roger, Otálora, Sebastian, Jimenez-del-Toro, Oscar, Atzori, Manfredo, Müller, Henning |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6639847/ https://www.ncbi.nlm.nih.gov/pubmed/31367471 http://dx.doi.org/10.4103/jpi.jpi_88_18 |
Ejemplares similares
-
Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology
por: Otálora, Sebastian, et al.
Publicado: (2019) -
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification
por: Otálora, Sebastian, et al.
Publicado: (2021) -
Documenting Paintings with Gigapixel Photography
por: Cabezos-Bernal, Pedro M., et al.
Publicado: (2021) -
Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands
por: Atzori, Manfredo, et al.
Publicado: (2016) -
Automated gigapixel circumferential surface microscopy of the prostate
por: Luethy, Samuel, et al.
Publicado: (2020)