Recent advances in Deep Learning (DL) and the increased use of brain MRI have provided a great opportunity and interest in automated anomaly segmentation to support human …
Deep unsupervised representation learning for brain pathology segmentation is of great interest for medical imaging, as it does not require extensive annotations for training and …
Globally, Skin carcinoma is among the most lethal diseases. Millions of people are diagnosed with this cancer every year. Sill, early detection can decrease the medication cost and …
Abstract Medical image segmentation is one of the major challenges addressed by machine learning methods. However, these methods profoundly depend on a large amount of annotated …
Federated Learning (FL) is a novel approach enabling several clients holding sensitive data to collaboratively train machine learning models, without centralizing data. The …
Distributed, collaborative, and federated learning, and affordable AI and healthcare for resource diverse global health Shadi Albarqouni· Spyridon Bakas· Sophia Bano· M. Jorge …
PURPOSE: To develop an unsupervised deep learning model on MR images of normal brain anatomy to automatically detect deviations indicative of pathologic states on abnormal MR …
Skin cancer is one of the most deadly cancers worldwide. Yet, it can be reduced by early detection. Recent deep-learning methods have shown a dermatologist-level performance in …
Einleitung Die Qualität einer optischen Polypencharakterisierung im Kolon hängt maßgeblich von der Expertise des Anwenders ab. Schwierigkeiten bestehen besonders bei der …