Breast cancer (BC) is a multifaceted genetic malignancy that accounts for the majority of
cancer fatalities in women. Dynamic Contrast-Enhanced Magnetic Resonance Imaging …

Automatically and accurately annotating tumor in dynamic contrast-enhanced magnetic
resonance imaging (DCE-MRI), which provides a noninvasive in vivo method to evaluate …

Simple Summary The segmentation of breast tumors is an important step in identifying and
classifying benign and malignant tumors in X-ray images. Mammography screening has …

Breast tumor segmentation plays a critical role in the diagnosis and treatment of breast
diseases. Current breast tumor segmentation methods are mainly deep learning (DL) based …

Breast magnetic resonance imaging (MRI) plays an important role in high-risk breast cancer
screening, clinical problemsolving, and imaging-based outcome prediction. Breast tumor …

Breast cancer poses a profound threat to lives globally, claiming numerous lives each year.
Therefore, timely detection is crucial for early intervention and improved chances of survival …

In the clinical diagnosis of breast cancer, how to segment breast tumors accurately and
automatically is always a challenging task. With the advances in deep learning, automatic …

Tumor segmentation in 3D automated breast ultrasound (ABUS) plays an important role in
breast disease diagnosis and surgical planning. However, automatic segmentation of …

Multi-sequence MRI plays a crucial role in the effective segmentation of breast tumors,
contributing to accurate clinical diagnosis and treatment. However, the problem of missing …

Precise segmentation of breast tumors from MRI is crucial for breast cancer diagnosis, as it
allows for detailed calculation of tumor characteristics such as shape, size, and edges …