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Classification of Prostate Cancer in 3D Magnetic Resonance Imaging Data based on Convolutional Neural Networks
Prostate cancer is a commonly diagnosed cancerous disease among men world-wide.
Airway Label Prediction in Video Bronchoscopy: Capturing Temporal Dependencies Utilizing Anatomical Knowledge
This is realized by incorporating sequences of CNN-based airway likelihoods into a Hidden Markov Model.
Weakly Supervised Airway Orifice Segmentation in Video Bronchoscopy
In this way, these traditional algorithms serve as weak supervision for training a shallow CNN directly on RGB images solely based on a phantom dataset.
Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students
The main goal is to provide a learning environment for a sufficient understanding of AI in medical image analysis so that further interest in this topic is stimulated and inhibitions towards its use can be overcome by means of positive application experience.
Automatic Generation of Synthetic Colonoscopy Videos for Domain Randomization
An increasing number of colonoscopic guidance and assistance systems rely on machine learning algorithms which require a large amount of high-quality training data.
