Bone malignant tumors are metastatic and aggressive, with poor treatment outcomes and
prognosis. Rapid and accurate diagnosis is crucial for limb salvage and increasing the …

Osteosarcoma is the most common primary malignant bone tumor in children and
adolescents. It has a high degree of malignancy and a poor prognosis in developing …

To automatically identify and delineate metastatic lesions in low-resolution bone scan
images, we propose a deep learning-based segmentation method in this paper. In …

In this paper, a novel and more powerful architecture W-net++ was proposed based on two
cascaded U-Nets and dense skip connections to realize the automatic and more accurate …

Osteosarcoma is one of the most common bone tumors that occurs in adolescents. Doctors
often use magnetic resonance imaging (MRI) through biosensors to diagnose and predict …

Bone malignant tumors are metastatic and aggressive. The manual screening of medical
images is time-consuming and laborious, and computer technology is now being introduced …

Tumor classification and segmentation problems have attracted interest in recent years. In
contrast to the abundance of studies examining brain, lung, and liver cancers, there has …

One challenge in applying deep learning to medical imaging is the lack of labeled data.
Although large amounts of clinical data are available, acquiring labeled image data is …

Osteosarcoma is one of the most common primary malignancies of bone in the pediatric and
adolescent populations. The morphology and size of osteosarcoma MRI images often show …

Background and objective Automatic osteosarcoma tumor segmentation on computed
tomography (CT) images is a challenging problem, as tumors have large spatial and …