Cargando…
Identification and Classification of Lungs Focal Opacity Using CNN Segmentation and Optimal Feature Selection
Lung cancer is one of the deadliest cancers around the world, with high mortality rate in comparison to other cancers. A lung cancer patient's survival probability in late stages is very low. However, if it can be detected early, the patient survival rate can be improved. Diagnosing lung cancer...
Autores principales: | Javed, Muhammad Ashar, Bin Liaqat, Hannan, Meraj, Talha, Alotaibi, Aziz, Alshammari, Majid |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10396675/ https://www.ncbi.nlm.nih.gov/pubmed/37538561 http://dx.doi.org/10.1155/2023/6357252 |
Ejemplares similares
-
Combining CNN Features with Voting Classifiers for Optimizing Performance of Brain Tumor Classification
por: Alturki, Nazik, et al.
Publicado: (2023) -
CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation
por: Pezzano, Giuseppe, et al.
Publicado: (2021) -
A Novel Hybrid Approach Based on Deep CNN Features to Detect Knee Osteoarthritis
por: Mahum, Rabbia, et al.
Publicado: (2021) -
Unusual focal opacities in the lungs: Clinical Presentation
por: Alqurashi, Moayad M., et al.
Publicado: (2019) -
Detection of Lung Opacity and Treatment Planning with Three-Channel Fusion CNN Model
por: Türk, Fuat, et al.
Publicado: (2023)