An ultrasound automation system combining organ segmentation, liver histopathology classification, and voice commands reports up to 98.6% liver fibrosis classification accuracy.
The authors used ResNet and DenseNet along with KNN
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Automating Sonologists USG Commands with AI and Voice Interface
An ultrasound automation system combining organ segmentation, liver histopathology classification, and voice commands reports up to 98.6% liver fibrosis classification accuracy.