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@Radiology_AI 11 months ago
Differences in data distribution may affect federated #DeepLearning model performance in medical image segmentation https://doi.org/10.1148/ryai.220082 @ND_CSE @hku_science @ZJU_China #FederatedLearning #AI #MachineLearning #AIME23 #AIME2023 https://t.co/Sg0Y2jheGy
@Radiology_AI 1 year ago
#AI model for 3D segmentation of rotator cuff muscles and corresponding intramuscular fat https://doi.org/10.1148/ryai.220132 @BrookeArmyMed @MedicineUVA #MSKRad #ML #MachineLearning https://t.co/dQAYmlJEVV
@Radiology_AI 1 year ago
#AI model for 3D segmentation of rotator cuff muscles and corresponding intramuscular fat https://doi.org/10.1148/ryai.220132 @BrookeArmyMed @MedicineUVA #ML #MachineLearning https://t.co/oNMCGLErOr
@Radiology_AI 1 year ago
#AI model for 3D segmentation of rotator cuff muscles and corresponding intramuscular fat https://doi.org/10.1148/ryai.220132 @BrookeArmyMed @MedicineUVA #DeepLearning #RotatorCuff #MachineLearning https://t.co/zDjQ4xANb8
@Radiology_AI 1 year ago
#AI model for 3D segmentation of rotator cuff muscles and corresponding intramuscular fat https://doi.org/10.1148/ryai.220132 @BrookeArmyMed @MedicineUVA #RotatorCuff #ML #MachineLearning https://t.co/4151Kb3NCk
@Abhishek4273 3 years ago
Tried training an image segmentation model on PanNuke dataset, an Open Pan-Cancer Histology Dataset - https://github.com/Tessellate-Imaging/Monk_Object_Detection/tree/master/application_model_zoo (Ex 51) Data - https://jgamper.github.io/PanNukeDataset/ #100DaysOfCode #100DaysOfMLCode #301DaysOfCode #MachineLearning #Python #git #medical #Cancer #opensource #AI https://t.co/rFQ5JcvZjt