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@SHTsang3 1 year ago
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
@SHTsang3 1 year ago
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
@WevolverApp 2 years ago
Novel deep learning method enables clinic-ready automated screening for diabetes-related eye disease https://www.wevolver.com/article/deep-learning-in-hospitals Image/video credits: @TU_Muenchen #artificialintelligence #deeplearning #hospital #medical #machinelearning #ai #technology #engineering #healthcare
@sonu_monika 2 years ago
Automated #deeplearning design for medical image classification https://www.thelancet.com/journals/landig/article/PIIS2589-7500(19)30108-6/fulltext#.YmGN4xNVGhY.twitter #ArtificialIntelligence #AI #DataScience #Python #Analytics #Data #flutter #Serverless #neuralnetwork #research #NLP #digitalhealth #Algorithms #datasets #BigData #Rstats #Tech #Dataviz #IoT https://t.co/CeErUCJ3zc
@marcusborba 3 years ago
Introduction to Medical Image Registration with DeepReg, Between Old and New. #ArtificialIntelligence #BigData #Analytics #Python #RStats #TensorFlow #Java #IoT #JavaScript #ReactJS #GoLang #Serverless #Linux #DataScience #MachineLearning #DeepLearning #AI http://arxiv.org/abs/2009.01924 https://t.co/m3TZr6sSTB
@Deep_In_Depth 4 years ago
Brief Intro of Medical Image Analysis and Deep Learning https://buff.ly/2PEnF93 #DeepLearning #NeuralNetworks #ArtificialIntelligence #AIChips #MachineLearning #ReinforcementLearning #AGI #AutonomousCar #NewMobility #Robotics #Quant #FinTech #RPC #DL #AI #ML #DNN #NLP #RNN
@PyImageSearch 5 years ago
New tutorial! #DeepLearning and Medical Image Analysis for malaria testing: http://pyimg.co/1cs5o Over 97%+ accurate. Comparable to state-of-the-art with 5% of training time and required processing power. #Python #MachineLearning #ArtificialIntelligence #AI #DataScience https://t.co/rswDoN8juP