Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nagano, Yudai"'
Autor:
Han, Changhee, Rundo, Leonardo, Araki, Ryosuke, Nagano, Yudai, Furukawa, Yujiro, Mauri, Giancarlo, Nakayama, Hideki, Hayashi, Hideaki
Convolutional Neural Networks (CNNs) achieve excellent computer-assisted diagnosis with sufficient annotated training data. However, most medical imaging datasets are small and fragmented. In this context, Generative Adversarial Networks (GANs) can s
Externí odkaz:
http://arxiv.org/abs/1905.13456
Autor:
Rundo, Leonardo, Han, Changhee, Nagano, Yudai, Zhang, Jin, Hataya, Ryuichiro, Militello, Carmelo, Tangherloni, Andrea, Nobile, Marco S., Ferretti, Claudio, Besozzi, Daniela, Gilardi, Maria Carla, Vitabile, Salvatore, Mauri, Giancarlo, Nakayama, Hideki, Cazzaniga, Paolo
Prostate cancer is the most common malignant tumors in men but prostate Magnetic Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland segmentation, the capability to differentiate between the blurry boundary of the Centr
Externí odkaz:
http://arxiv.org/abs/1904.08254
Autor:
Rundo, Leonardo, Han, Changhee, Zhang, Jin, Hataya, Ryuichiro, Nagano, Yudai, Militello, Carmelo, Ferretti, Claudio, Nobile, Marco S., Tangherloni, Andrea, Gilardi, Maria Carla, Vitabile, Salvatore, Nakayama, Hideki, Mauri, Giancarlo
Prostate cancer is the most common cancer among US men. However, prostate imaging is still challenging despite the advances in multi-parametric Magnetic Resonance Imaging (MRI), which provides both morphologic and functional information pertaining to
Externí odkaz:
http://arxiv.org/abs/1903.12571