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
I've just read about 2021 J. BSPC, FFANet. FFANet: Feature fusion attention network to medical image segmentation https://link.medium.com/9fJewBib6yb #AI #ArtificialIntelligence #DeepLearning #MachineLearning #imagesegmentation #medical
I've just read 2020 J. PRL "RefineU-Net: Improved U-Net with Progressive Global Feedbacks and Residual Attention Guided Local Refinement for Medical Image" Segmentation https://link.medium.com/t1CNYIxxzxb #AI #ArtificialIntelligence #DeepLearning #MachineLearning #imagesegmentation #medical
Introduction to medical image processing with #Python: CT lung and vessel segmentation without labels | AI Summer https://hubs.ly/Q013ZV1t0 @nadaloglou #aisummer #machinelearning #ai #deeplearning
Going to Extremes: Weakly Supervised Medical Image Segmentation https://deepai.org/publication/going-to-extremes-weakly-supervised-medical-image-segmentation by Holger R. Roth et al. #MachineLearning #DeepLearning
