Cargando…
Ovarian cancer detection using optical coherence tomography and convolutional neural networks
Ovarian cancer has the sixth-largest fatality rate in the United States among all cancers. A non-surgical assay capable of detecting ovarian cancer with acceptable sensitivity and specificity has yet to be developed. However, such a discovery would profoundly impact the pace of the treatment and imp...
Autores principales: | Schwartz, David, Sawyer, Travis W., Thurston, Noah, Barton, Jennifer, Ditzler, Gregory |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8785933/ https://www.ncbi.nlm.nih.gov/pubmed/35095211 http://dx.doi.org/10.1007/s00521-022-06920-3 |
Ejemplares similares
-
Direct Estimation of Choroidal Thickness in Optical Coherence Tomography Images with Convolutional Neural Networks
por: Rong, Yibiao, et al.
Publicado: (2022) -
Automatic detection of microaneurysms in optical coherence tomography images of retina using convolutional neural networks and transfer learning
por: Almasi, Ramin, et al.
Publicado: (2022) -
Asymmetry between right and left optical coherence tomography images identified using convolutional neural networks
por: Kang, Tae Seen, et al.
Publicado: (2022) -
Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography
por: Sogawa, Takahiro, et al.
Publicado: (2020) -
Detecting Macular Disease Based on Optical Coherence Tomography Using a Deep Convolutional Network
por: Han, Jinyoung, et al.
Publicado: (2023)