Cargando…
Deep learning based automated diagnosis of bone metastases with SPECT thoracic bone images
SPECT nuclear medicine imaging is widely used for treating, diagnosing, evaluating and preventing various serious diseases. The automated classification of medical images is becoming increasingly important in developing computer-aided diagnosis systems. Deep learning, particularly for the convolutio...
Autores principales: | Lin, Qiang, Li, Tongtong, Cao, Chuangui, Cao, Yongchun, Man, Zhengxing, Wang, Haijun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7896065/ https://www.ncbi.nlm.nih.gov/pubmed/33608560 http://dx.doi.org/10.1038/s41598-021-83083-6 |
Ejemplares similares
-
dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis
por: Lin, Qiang, et al.
Publicado: (2021) -
Deep learning based automatic segmentation of metastasis hotspots in thorax bone SPECT images
por: Lin, Qiang, et al.
Publicado: (2020) -
Multiclass classification of whole‐body scintigraphic images using a self‐defined convolutional neural network with attention modules
por: Lin, Qiang, et al.
Publicado: (2021) -
Semi-supervised segmentation of metastasis lesions in bone scan images
por: Lin, Qiang, et al.
Publicado: (2022) -
Automated detection of lung cancer-caused metastasis by classifying scintigraphic images using convolutional neural network with residual connection and hybrid attention mechanism
por: Guo, Yanru, et al.
Publicado: (2022)