Cargando…
A novel fusion algorithm for benign-malignant lung nodule classification on CT images
The accurate recognition of malignant lung nodules on CT images is critical in lung cancer screening, which can offer patients the best chance of cure and significant reductions in mortality from lung cancer. Convolutional Neural Network (CNN) has been proven as a powerful method in medical image an...
Autores principales: | Ma, Ling, Wan, Chuangye, Hao, Kexin, Cai, Annan, Liu, Lizhi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683224/ https://www.ncbi.nlm.nih.gov/pubmed/38012620 http://dx.doi.org/10.1186/s12890-023-02708-w |
Ejemplares similares
-
Classification and Segmentation Algorithm in Benign and Malignant Pulmonary Nodules under Different CT Reconstruction
por: Lu, Zhiqian, et al.
Publicado: (2022) -
An Appraisal of Lung Nodules Automatic Classification Algorithms for CT Images
por: Wang, Xinqi, et al.
Publicado: (2019) -
Classification of Benign and Malignant Lung Nodules Based on Deep Convolutional Network Feature Extraction
por: Lv, Enhui, et al.
Publicado: (2021) -
Radiomics as a non-invasive adjunct to Chest CT in distinguishing benign and malignant lung nodules
por: Selvam, Minmini, et al.
Publicado: (2023) -
Diagnostic Value of Artificial Intelligence Based on CT Image in Benign and Malignant Pulmonary Nodules
por: Du, Wang, et al.
Publicado: (2022)