Analysis of neural networks for routine classification of sixteen ultrasound upper abdominal cross sections

ConclusionDataset size proved a more important factor in determining accuracy than network selection with more complex neural networks providing higher accuracy as dataset size increases and simpler linear neural networks providing better results where the dataset is small.

Source: Abdominal Imaging - January 12, 2024 Category: Radiology Source Type: research