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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
@Abhishek4273 4 years ago
Day 191/300 - Experimented with blood cell type classification using monk: https://github.com/Tessellate-Imaging/monk_v1/blob/master/tutorials/Blood%20Cell%20Type%20Classification:%20Understanding%20the%20impact%20of%20depth%20in%20network.ipynb Data credits: https://www.kaggle.com/paultimothymooney/blood-cells #100DaysOfCode #100DaysOfMLCode #301DaysOfCode #medicalimaging #blood #ArtificialIntelligence #DeepLearning #MachineLearning #OpenSource https://t.co/yKoHihkkP1
@HubBaseDB 4 years ago
✍ #DeepLearning Tool Kit - #DLTK is an #OpenSource library that makes #DeepLearning in #MedicalImaging easier. #DLTK is built on @TensorFlow #DLTK website: ️ https://dltk.github.io/ @HubBaseDB @HubGenomics @HubBucket @HubMedX #Statistics #DataScience #Biomedical #STEM https://t.co/MT102YslO8