What is it about?
Using algorithms that train software to differentiate between benign and malignant nodules
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Why is it important?
It can assist clinicians, radiologists and improve diagnostic accuracy and also lower the number of unnecessary fine needle aspirations performed.
Perspectives
An interesting paper reflecting the prevailing use of computer aided diagnosis (CAD), machine-learning and deep-learning in clinical practice and healthcare.
Mr Sumeet Gulati
International Clinical Research Center, St. Anne’s University Hospital Brno, Pekarska 53, 656 91, Brno, Czech Republic
Read the Original
This page is a summary of: Classification of Thyroid Nodules in Ultrasound Images Using Direction-Independent Features Extracted by Two-Threshold Binary Decomposition, Technology in Cancer Research & Treatment, January 2019, SAGE Publications,
DOI: 10.1177/1533033819830748.
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