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New to computer vision and medical imaging? Start with these 10 projects A hands-on guide for computer vision and machine learning (AI) and computer science that enables automated systems to see, i.e. to process images and video in a human-like manner to detect and identify objects or regions of importance, predict an outcome or even alter the image to a desired format [1]. Most popular use cases in the CV domain include automated perception for autonomous drive, augmented and virtual realities (AR, VR) for simulations, games, glasses, reality, and fashion or beauty-oriented e-commerce. Medical image (MI) processing on the other hand involves much more detailed analysis of medical images that are typically grayscale such as MRI, CT, or X-ray images for automated pathology detection, a task that requires a trained specialist’s eye for detection. Most popular use cases in the MI domain include automated pathology labeling, localization, association with treatment or prognost

Kaggle datasetDeepdream colabUnion ioImage classificationPathology classificationMedical imagesOptical coherence tomographyDiabetic macular edemaMulti label image classificationLocal interpretable model agnostic explanationsBounding boxPersonalized medicineDeep dreamபடம் வகைப்பாடுமருத்துவ படங்கள்ஒளியியல் இணக்கத்தைப் டோமோகிராபி