Cargando…
Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease
Deep learning and computer vision algorithms can deliver highly accurate and automated interpretation of medical imaging to augment and assist clinicians. However, medical imaging presents uniquely pertinent obstacles such as a lack of accessible data or a high-cost of annotation. To address this, w...
Autores principales: | Madani, Ali, Ong, Jia Rui, Tibrewal, Anshul, Mofrad, Mohammad R. K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550282/ https://www.ncbi.nlm.nih.gov/pubmed/31304338 http://dx.doi.org/10.1038/s41746-018-0065-x |
Ejemplares similares
-
Deep Low-Density Separation for Semi-supervised Classification
por: Burkhart, Michael C., et al.
Publicado: (2020) -
Deep semi-supervised learning for brain tumor classification
por: Ge, Chenjie, et al.
Publicado: (2020) -
Deep supervised hashing for gait retrieval
por: Sayeed, Shohel, et al.
Publicado: (2022) -
Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle Biopsies
por: Kapil, Ansh, et al.
Publicado: (2018) -
Semi-Supervised Deep Learning Model for Efficient Computation of Optical Properties of Suspended-Core Fibers
por: Wang, Gao, et al.
Publicado: (2022)