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DTSTAMP:20260715T235416Z
UID:f3f9c0c6-3b64-4c61-b82a-c1d68ffd8adb
DTSTART:20240919T000000Z
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DESCRIPTION:Medical image analysis holds immense value in modern healthcare
 \, offering potential to revolutionize diagnostics\, treatment planning\, 
 and patient care. By leveraging advanced technologies such as machine lear
 ning and computer vision\, medical image analysis allows for precise and e
 fficient interpretation of complex visual data from various imaging modali
 ties like X-rays\, Magnetic resonance imaging (MRI)\, and Computed Tomogra
 phy scan (CT) scans.  Dive into the dynamic realm of medical image analys
 is with our introductory 2-day course\, tailored to match the rapid pace o
 f both the field and its foundational technology—computing. Structured t
 o be practical and contemporary\, the course takes a ‘hands-on’ approa
 ch\, guiding participants from introductory imaging concepts through the d
 evelopment of compact machine learning pipelines for inference. By the wor
 kshop’s conclusion\, attendees will not only have acquired a nuanced und
 erstanding of medical imaging intricacies but will also possess the requis
 ite tools for autonomous image analysis. Furthermore\, participants will b
 e introduced to key publicly-available resources\, ensuring they depart wi
 th a valuable skill set poised to contribute to advancements in this cruci
 al field.
SUMMARY:(2024) Machine Learning for Medical Imaging Analysis: Pixels to Pre
 dictions: Toronto\, ON
URL;VALUE=URI:https://bioinformatics.ca/workshops-all/2024-machine-learning
 -for-medical-imaging-analysis-pixels-to-predictions-toronto-on/
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