Development of Convolutional Neural Networks to identify bone metastasis for prostate cancer patients in bone scintigraphy.
Nikolaos I PapandrianosElpiniki I PapageorgiouAthanasios AnagnostisPublished in: Annals of nuclear medicine (2020)
The prediction results reveal the efficacy of the proposed CNN-based approach and its ability for an easier and more precise interpretation of whole-body images in bone metastasis diagnosis for prostate cancer patients in nuclear medicine. This leads to marked effects on the diagnostic accuracy and decision-making regarding the treatment to be applied.
Keyphrases
- convolutional neural network
- prostate cancer
- bone mineral density
- deep learning
- end stage renal disease
- decision making
- soft tissue
- newly diagnosed
- bone regeneration
- ejection fraction
- bone loss
- radical prostatectomy
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- genome wide
- body composition
- dna methylation
- gene expression
- single cell
- machine learning
- combination therapy
- optical coherence tomography
- smoking cessation