Figure 7.

The typical workflow of a CNN for ultrasound image analysis. Convolution Layer: This displays the initial layer where input images are processed using convolution operations to extract features. Pooling Layer: This illustrates the subsequent layer where pooling operations (e.g., max-pooling) are applied to reduce spatial dimensions and retain important information. Fully Connected Layer: This shows the layer responsible for connecting the extracted features to make classification decisions or predictions. Flattening: This represents the process of converting the output from the previous layers into a one-dimensional vector for further processing.