2 citations · 3 across the 3 of their papers we have counts for
3 papers
eess.IV2025★ 2 cited
Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning
Majid Behzadpour, Ebrahim Azizi, Kai Wu +1
Accurate and efficient segmentation of brain tumors is critical for diagnosis, treatment planning, and monitoring in clinical practice. In this study, we present an enhanced ResUNe…
eess.IV2024★ 1 cited
Breast Tumor Classification Using EfficientNet Deep Learning Model
Majid Behzadpour, Bengie L. Ortiz, Ebrahim Azizi +1
Precise breast cancer classification on histopathological images has the potential to greatly improve the diagnosis and patient outcome in oncology. The data imbalance problem larg…
eess.IV2021
Improving precision of objective image/video quality metrics
Majid Behzadpour, Mohammad Ghanbari
Although subjective tests are most accurate image/video quality assessment tools, they are extremely time demanding. In the past two decades, a variety of objective tools, such as…