3 papers
eess.IV2024
Towards Multi-modality Fusion and Prototype-based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound
Hong Wu, Juan Fu, Hongsheng Ye +4
Prostate cancer is a highly prevalent cancer and ranks as the second leading cause of cancer-related deaths in men globally. Recently, the utilization of multi-modality transrectal…
eess.IV2024
Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI
Zixian Li, Yuming Zhong, Yi Wang
Breast cancer is the most common malignant tumor among women and the second cause of cancer-related death. Early diagnosis in clinical practice is crucial for timely treatment and…
eess.IV2024
Multi-modality transrectal ultrasound video classification for identification of clinically significant prostate cancer
Hong Wu, Juan Fu, Hongsheng Ye +4
Prostate cancer is the most common noncutaneous cancer in the world. Recently, multi-modality transrectal ultrasound (TRUS) has increasingly become an effective tool for the guidan…