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@ulmdesign 2 years ago
Why use #DeepLearning for #Medical Image Registration? - #tutorial > https://colab.research.google.com/github/DeepRegNet/DeepReg/blob/main/docs/Intro_to_Medical_Image_Registration.ipynb | #opensource #TensorFlow #matplotlib #python #MachineLearning #DICOM #healthcare #MedicalImaging #notebook #GoogleColab https://t.co/R7F0DBjk3T
@ulmdesign 2 years ago
Computer-aided detection (#CAD), localisation, and segmentation methods can help improve #colonoscopy procedures - #opensource project > https://github.com/DebeshJha/ColonSegNet | #python #TensorFlow #Keras #DeepLearning #medical #MedicalImaging #UNet #biomedical #bioinformatics #DataScience https://t.co/D0wyIo3olM
@ulmdesign 3 years ago
Construct data frame from #DICOM headers - a #MachineLearning example > https://bit.ly/3ejI1kv | #TensorFlow #python #tutorial #DataScience #csv #scikitlearn #keras #pydicom #medical #MedicalImaging https://t.co/ky0BPw0oMw
@ulmdesign 3 years ago
Building models for heart disease prediction using #MachineLearning techniques - #opensource > https://github.com/rtflynn/Heart-Disease-Model | #Python #DeepLearning #scikitlearn #keras #kaggle #heart #disease #medical #clinical #research #CSV #DataScience #NeuralNetwork https://t.co/gR0G2YG9pL