GAN model for lung nodule detection in chest xrays and Ct images using RF and SVM
Budget: £10 – £200 GBP
I am seeking an advanced GAN model to be trained on both chest X-rays and CT images. The goal is to use RF and SVM in detecting lung nodules for medical analysis. Even though identifying key characteristics of the nodules will not be a requirement, the model should be able to provide a moderate level of accuracy, specifically between 80-95%.
First the model on gan need to be built, and trained on chest x rays and then transfer learning needs to be performed on ct images using the xrays model and efficiency needs to be calculated for both the model
Ideal Skills and Expertise:
- Strong background in GAN models and medical imaging
- Proficiency in RF and SVM methods
- Proven track record of developing AI models with moderate accuracy
First the model on gan need to be built, and trained on chest x rays and then transfer learning needs to be performed on ct images using the xrays model and efficiency needs to be calculated for both the model
Ideal Skills and Expertise:
- Strong background in GAN models and medical imaging
- Proficiency in RF and SVM methods
- Proven track record of developing AI models with moderate accuracy