Mayo Radiology Informatics Lab
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MedMNIST-Fine-Tuning-Framework
MedMNIST-Fine-Tuning-Framework PublicA PyTorch-based framework for fine-tuning pretrained models on MedMNIST datasets with configurable training strategies.
Python 4
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IDC_GoogleCloud_Notebook
IDC_GoogleCloud_Notebook PublicDeep-learning Nodule Segmentation using LIDC dataset on Google Cloud Platform (GCP).
Repositories
- liver-pdff-mil Public
Video-based liver PDFF estimation using Multiple Instance Learning (MIL) with ablation across pooling aggregators.
- MedMNIST-Fine-Tuning-Framework Public
A PyTorch-based framework for fine-tuning pretrained models on MedMNIST datasets with configurable training strategies.
- Vestibular-Schwannoma-Segmentation Public
This repository provides tools and scripts for the segmentation of vestibular schwannomas from medical images using state-of-the-art deep learning models. The aim is to automate and enhance the accuracy of vestibular schwannoma detection and segmentation in MRI scans.
- LLM-Prompting-Fine-Tuning Public
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- RIL-workflow Public
- Mayo-AI-Summit-23-Gen_AI Public
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