The role of medical image computing and machine learning in healthcare
Medical image computing aims at developing computational strategies for robust,
automated, quantitative analysis of relevant information from medical imaging data in order
to support diagnosis, therapy planning and follow-up, and biomedical research. Medical
image analysis is complicated by the complexity of the data itself—involving 3D tomographic
images acquired with different modalities that are based on different physical principles,
each with their own intrinsic characteristics and limitations, and by the complexity of the …
automated, quantitative analysis of relevant information from medical imaging data in order
to support diagnosis, therapy planning and follow-up, and biomedical research. Medical
image analysis is complicated by the complexity of the data itself—involving 3D tomographic
images acquired with different modalities that are based on different physical principles,
each with their own intrinsic characteristics and limitations, and by the complexity of the …
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