Advanced techniques in image processing have led to many
innovations supporting the medical field, especially in the area of
disease diagnosis. Biomedical imaging is an essential part of early
disease detection and often considered a first step in the proper
management of medical pathological conditions. Classification and
Clustering in Biomedical Signal Processing focuses on existing and
proposed methods for medical imaging, signal processing, and
analysis for the purposes of diagnosing and monitoring patient
conditions. Featuring the most recent empirical research findings
in the areas of signal processing for biomedical applications with
an emphasis on classification and clustering techniques, this
essential publication is designed for use by medical professionals,
IT developers, and advanced-level graduate students.
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