DBU-Net: Dual branch U-Net for tumor segmentation in breast ultrasound images.

ABSTRACT: Breast ultrasound medical images often have low imaging quality along with unclear target boundaries. These issues make it challenging for physicians to accurately identify and outline tumors when diagnosing patients. Since precise segmentation is crucial for diagnosis, there is a strong need for an automated method to enhance the segmentation accuracy, which can serve as a technical aid in diagnosis. Recently, the U-Net and its variants have shown great success in medical image segmentation. In this study, drawing inspiration from the U-Net concept, we propose a new variant of the U-Net architecture, called DBU-Net, for tumor segmentation in breast ultrasound images. To enhance the feature extraction capabilities of the encoder, we introduce a novel approach involving the utilization of t

SUBMITTER: Pramanik P 

PROVIDER: S-EPMC10627442 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature