Hello NVIDIA Community Team,
I am a researcher and student at Regis University working on an automated Polycystic Ovary Syndrome (PCOS) Detection from Ultrasound Images Project.
We are developing deep learning architectures (including hybrid CNN, Vision Transformer and Detection based pipelines) to automate the identification and localization of ovarian follicular cysts. Processing medical imaging and scanning large image datasets recursively requires heavy GPU acceleration. Our local hardware is creating a major compute bottleneck for model compilation and cross-validation training phases.
We would appreciate any student-specific Brev credit vouchers or guidance on linking our academic status to our compute organization to utilize NVIDIA cloud GPUs.
Account Validation Details:
- Academic Email: mhouque@regis.edu
- Brev.dev Account Email: cse.mahmud.evan@gmail.com
- Brev Organization ID: org-3GKFljrtTDOplctLRq9UrK2pcd6
Thank you for your time and for supporting medical AI research!