Goshi Oda

Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network

Tomoyuki Fujioka, Kazunori Kubota, M. Mori et al. · Japanese Journal of Radiology · 2019 · 175 citations

Convolutional Neural Network, Deep Neural Networks, Image Analysis +13

Detection and Diagnosis of Breast Cancer Using Artificial Intelligence Based Assessment of Maximum Intensity Projection Dynamic Contrast-Enhanced Magnetic Resonance Images

Mio Adachi, Tomoyuki Fujioka, M. Mori et al. · Diagnostics · 2020 · 62 citations · Full text

Classification of Breast Masses on Ultrasound Shear Wave Elastography using Convolutional Neural Networks

Tomoyuki Fujioka, Leona Katsuta, Kazunori Kubota et al. · Ultrasonic Imaging · 2020 · 61 citations

Significance of stromal decorin expression during the progression of breast cancer

Goshi Oda, Takanobu Sato, Toshiaki Ishikawa et al. · Oncology Reports · 2012 · 53 citations · Full text

Deep-learning approach with convolutional neural network for classification of maximum intensity projections of dynamic contrast-enhanced breast magnetic resonance imaging

Tomoyuki Fujioka, Yuka Yashima, Jun Oyama et al. · Magnetic Resonance Imaging · 2020 · 48 citations

Convolutional Neural Network, Image Analysis, Engineering +13