A deep learning system to diagnose the malignant potential of urothelial carcinoma cells in cytology specimens.
Satoshi NojimaKei TerayamaSaeko ShimouraSachiko HijikiNorio NonomuraEiichi MoriiYasushi OkunoKazutoshi FujitaPublished in: Cancer cytopathology (2021)
The DLS could accurately screen UC cells and determine the malignant potential of tumors more accurately than classical cytology. The use of a DLS during cytopathology screening could help urologists plan therapeutic strategies, which, in turn, may be beneficial for patients.
Keyphrases
- induced apoptosis
- fine needle aspiration
- deep learning
- cell cycle arrest
- end stage renal disease
- high grade
- ultrasound guided
- newly diagnosed
- ejection fraction
- chronic kidney disease
- endoplasmic reticulum stress
- prognostic factors
- high throughput
- signaling pathway
- cell death
- peritoneal dialysis
- oxidative stress
- patient reported outcomes
- risk assessment
- convolutional neural network
- cell proliferation
- sensitive detection
- single molecule
- climate change