Light&fast generative adversarial network for high-fidelity CT image synthesis of liver tumor
Graphical abstract
References
Index Terms
- Light&fast generative adversarial network for high-fidelity CT image synthesis of liver tumor
Recommendations
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023AbstractLiver tumor segmentation and classification are important tasks in computer aided diagnosis. We aim to address three problems: liver tumor screening and preliminary diagnosis in non-contrast computed tomography (CT), and differential diagnosis in ...
Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network
Abstract PurposeTo develop and evaluate a three-dimensional (3D) generative model of computed tomography (CT) images of lung nodules using a generative adversarial network (GAN). To guide the GAN, lung nodule size was used.
Materials and methodsA ...
Highlights- A generative adversarial network (GAN) was trained for 3D CT lung nodule images.
- To guide the GAN, lung nodule size was used.
- The images generated by GAN were difficult to distinguish from true images.
- Using the generated ...
A review on lung carcinoma segmentation and classification using CT image based on deep learning
Lung carcinoma was the first leading cause of death when compared to all other cancer. Early-stage detection of a lung nodule is an important step to prevent death and to increase the survival rate of patients with lung cancer. Various types of radiology ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Publisher
Elsevier North-Holland, Inc.
United States
Publication History
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0