© FUJIFILM Corporation

AI Research

FUJIFILM researchers are actively pursuing the goal of providing medical AI solutions to help patients around the world.
This page introduces AI related FUJIFILM’s publications and conference information.
2024.07.03
Automatic Characterization of Liver Tumors from Multi-phase CT Images
2024.05.20
Alberta Stroke Program Early CT Score Calculation Using the Deep Learning-Based Brain Hemisphere Comparison Algorithm
2024.03.05
Computation of Total Kidney Volume from CT Images in Autosomal Dominant Polycystic Kidney Disease Using Multi-task 3D Convolutional Neural Networks
2024.02.08
Development and performance evaluation of a deep learning lung nodule detection system
2024.01.31
Artificial intelligence trained by deep learning can improve computed tomography diagnosis of nontraumatic subarachnoid hemorrhage by nonspecialists
2023.12.11
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection
2023.11.06
Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network
2023.10.25
Visual Grounding of Whole Radiology Reports for 3D CT Images
2023.07.21
Detection of rib fractures on CT images with convolutional neural networks
1 / 2