Our study was featured on AuntMinnie.com
Dr. Suzuki’s RSNA presentation, entitled “Radiation Dose Reduction in Thin-Slice Chest CT at a Micro-Dose (mD) Level by Means of 3D Deep Neural Network Convolution (NNC)” was featured in the article “Top 5 trends from RSNA 2017 in Chicago” on AuntMinnie.com.
Dr. Suzuki’s RSNA presentation, entitled “Virtual Dual-Energy (VDE) Imaging: Separation of Bones from Soft Tissue in Chest Radiographs (CXRs) by Means of Anatomy-Specific (AS) Orientation-Frequency-Specific (OFS) Deep Neural Network Convolution (NNC)” was featured in the article “Virtual dual energy’ separates bone from soft tissue on chest x-rays” in RSNA Digital X-ray Preview on AuntMinnie.com.
Dr. Suzuki’s RSNA presentation, entitled “Investigating the Depth of Convolutional Neural Networks (CNNs) in Computer-aided Detection and Classification of Focal Lesions: Lung Nodules in Thoracic CT and Colorectal Polyps in CT Colonography” was featured in the article “More may not always be better in deep learning” in RSNA Artificial Intelligence Preview on AuntMinnie.com.