Cargando…
Breath analysis based early gastric cancer classification from deep stacked sparse autoencoder neural network
Deep learning is an emerging tool, which is regularly used for disease diagnosis in the medical field. A new research direction has been developed for the detection of early-stage gastric cancer. The computer-aided diagnosis (CAD) systems reduce the mortality rate due to their effectiveness. In this...
Autores principales: | Aslam, Muhammad Aqeel, Xue, Cuili, Chen, Yunsheng, Zhang, Amin, Liu, Manhua, Wang, Kan, Cui, Daxiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889910/ https://www.ncbi.nlm.nih.gov/pubmed/33597551 http://dx.doi.org/10.1038/s41598-021-83184-2 |
Ejemplares similares
-
Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder
por: Li, Zexin, et al.
Publicado: (2020) -
Optimal Deep Stacked Sparse Autoencoder Based Osteosarcoma Detection and Classification Model
por: Fakieh, Bahjat, et al.
Publicado: (2022) -
SARS-CoV-2 virus classification based on stacked sparse autoencoder
por: Coutinho, Maria G.F., et al.
Publicado: (2022) -
EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder
por: Liu, Junxiu, et al.
Publicado: (2020) -
Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder
por: Wang, Shui-Hua, et al.
Publicado: (2021)