Research on breast cancer image segmentation method based on improved ResNet34-UNet hybrid loss function
Breast cancer ultrasound images present challenges such as heterogeneous lesion morphologies, indistinct boundaries, and class imbalance. To overcome these difficulties, we propose an improved U-Net-based deep learning model for image segmentation. Specifically, we employ ResNet-34 as the encoder to form a ResNet34-UNe...