@Radiology_AI 1 year ago
A #DeepLearning Algorithm for Automatic 3D Segmentation of Rotator Cuff Muscle and Fat from Clinical MRI Scans https://doi.org/10.1148/ryai.220132 @BrookeArmyMed @MedicineUVA #MSKRad #ML #MachineLearning https://t.co/p2iEGdK9Xo
@Radiology_AI 1 year ago
A #DeepLearning Algorithm for Automatic 3D Segmentation of Rotator Cuff Muscle and Fat from Clinical MRI Scans https://doi.org/10.1148/ryai.220132 @BrookeArmyMed @MedicineUVA #ML #MachineLearning https://t.co/bTqHsEgj5L
@Radiology_AI 1 year ago
A #DeepLearning Algorithm for Automatic 3D Segmentation of Rotator Cuff Muscle and Fat from Clinical MRI Scans https://doi.org/10.1148/ryai.220132 @BrookeArmyMed @MedicineUVA #AI #ML #MachineLearning https://t.co/VENfVgFf1M
@Radiology_AI 1 year ago
#DeepLearning algorithm accurately quantifies 3D muscle volume and fat infiltration https://doi.org/10.1148/ryai.220132 @BrookeArmyMed @MedicineUVA #RotatorCuff #ML #MachineLearning https://t.co/vWxqBTOjel
@Radiology_AI 1 year ago
The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/zkCddWgOZR
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/cfC4OrFxC0
@Radiology_AI 1 year ago
A large-scale 3D #transformer model could reduce the amount of data needed to train and fine-tune medical imaging #AI models https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/t0Vza8lPaU
@Radiology_AI 1 year ago
#AI models trained on radiology images offer a better starting point for transfer learning in medical imaging https://doi.org/10.1148/ryai.210315 @zahifayad @BMEIIsinai @IcahnMountSinai #DeepLearning #ML #MachineLearning https://t.co/0BxL3KvLfG
@Radiology_AI 2 years ago
GANs hold promise to facilitate #DeepLearning for personalized and precision medicine https://doi.org/10.1148/ryai.2021200157 @yonsei_u #MSKRad #ML #MachineLearning https://t.co/bncAcFbJD3