Cargando…
Accurate Identification of Tomograms of Lung Nodules Using CNN: Influence of the Optimizer, Preprocessing and Segmentation
The diagnosis of pulmonary nodules plays an important role in the treatment of lung cancer, thus improving the diagnosis is the primary concern. This article shows a comparison of the results in the identification of computed tomography scans with pulmonary nodules, through the use of different opti...
Autores principales: | Loeza Mejía, Cecilia Irene, Biswal, R. R., Rodriguez-Tello, Eduardo, Ochoa-Ruiz, Gilberto |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297567/ http://dx.doi.org/10.1007/978-3-030-49076-8_23 |
Ejemplares similares
-
Fuzzy-C-Means Clustering Based Segmentation and CNN-Classification for Accurate Segmentation of Lung Nodules
por: K, Jalal Deen, et al.
Publicado: (2017) -
Temporal refinement of 3D CNN semantic segmentations on 4D time-series of undersampled tomograms using hidden Markov models
por: Bellos, Dimitrios, et al.
Publicado: (2021) -
A hierarchical GAN method with ensemble CNN for accurate nodule detection
por: Rezaei, Seyed Reza, et al.
Publicado: (2022) -
Role of anterior segment optical coherence tomogram in Descemet's membrane detachment
por: Kothari, Sonia, et al.
Publicado: (2011) -
Improving Arabic Sentiment Analysis Using CNN-Based Architectures and Text Preprocessing
por: Mhamed, Mustafa, et al.
Publicado: (2021)