FUJIFILM

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.

Two-step artificial intelligence algorithm for liver segmentation automates anatomic virtual hepatectomy

Applicability of artificial intelligence-based computer-aided detection (AI-CAD) for pulmonary tuberculosis to community-based active case finding

Automatic Characterization of Liver Tumors from Multi-phase CT Images

Alberta Stroke Program Early CT Score Calculation Using the Deep Learning-Based Brain Hemisphere Comparison Algorithm

Computation of Total Kidney Volume from CT Images in Autosomal Dominant Polycystic Kidney Disease Using Multi-task 3D Convolutional Neural Networks

Development and performance evaluation of a deep learning lung nodule detection system

Artificial intelligence trained by deep learning can improve computed tomography diagnosis of nontraumatic subarachnoid hemorrhage by nonspecialists

Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection

Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network