Implementation of the technique introduced in the paper "GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification" from Frid-Adar et al. in 2018, using a different dataset and differing architectural topology to reproduce similar results.
☆15Feb 18, 2020Updated 6 years ago
Alternatives and similar repositories for GAN_Synthetic_Medical_Image_Augmentation
Users that are interested in GAN_Synthetic_Medical_Image_Augmentation are comparing it to the libraries listed below
Sorting:
- Code for the paper 'Generative Adversarial Network based Synthesis for Supervised Medical Image Segmentation'☆17Jan 9, 2018Updated 8 years ago
- Scripts for converting TCIA LIDC-IDRI collection derived data into standard DICOM representation from project-specific XML format.☆27Jun 17, 2021Updated 4 years ago
- The Zhang's lab aims to provide a model or GUI of algorithm for example and further studies. ALL of them are used just for research, but…☆10Apr 13, 2020Updated 5 years ago
- CNN model to predict lung cancer based on CT scan images☆11Aug 5, 2020Updated 5 years ago
- Reproducible Python Package Creator☆10Mar 29, 2019Updated 6 years ago
- ☆13Nov 22, 2024Updated last year
- Joint Under-Sampling Pattern and Dual-Domain Reconstruction for Accelerating Multi-Contrast MRI (TIP2024))☆16Aug 13, 2024Updated last year
- Some ideas on methods for comparing classification models