Deep learning based tumor detection and segmentation for automated 3D breast ultrasound imaging
Francien Barkhof, Silvia Abbring, Rohit Pardasani, Navchetan Awasthi · 2024
Breast cancer is one of the widely diagnosed cancer in the world. However, the detection and segmentation of the tumor is a problem which still needs to be solved. Here we proposed U-Net and YOLO for the segmentation and detection for breast tumor detection in ABUS images. The algorithms were used for 2D images and got a dice score of 0.567 for segmentation and a mAP score of 0.554 for detection of tumor for the split of training data. For validation dataset, the dice score was 0.5388 for segmentation and a detection score of 0.3988 for the detection of tumor in ABUS images.