Ayyaz Hussain1, Mohammed Alawairdhi2, Fayez Alazemi3, Sajid Ali Khan4, Muhammad Ramzan2,*
Intelligent Automation & Soft Computing, Vol.26, No.5, pp. 857-871, 2020, DOI:10.32604/iasc.2020.010120
Abstract The Computer Aided Diagnosis (CAD) systems are gaining more
recognition and being used as an aid by clinicians for detection and interpretation
of diseases every passing day due to their increasing accuracy and reliability. The
lung(s) nodule detection is a very crucial and difficult step for CAD systems. In
this paper, a hybrid approach for the lung nodule detection using a deformable
model and distance transform has been proposed. The proposed method has the
ability to detect all major kinds of nodules such as the juxta-plueral, isolated, and
the juxta-vescular, along with the non-solid nodules More >
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