Improved prostate cancer diagnosis using a modified ResNet50-based deep learning architecture
Fatma M. Talaat,
Shaker El-Sappagh,
Khaled Alnowaiser
et al.
Abstract:Prostate cancer, the most common cancer in men, is influenced by age, family history, genetics, and lifestyle factors. Early detection of prostate cancer using screening methods improves outcomes, but the balance between overdiagnosis and early detection remains debated. Using Deep Learning (DL) algorithms for prostate cancer detection offers a promising solution for accurate and efficient diagnosis, particularly in cases where prostate imaging is challenging. In this paper, we propose a Prostate Cancer Detect… Show more
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