Mohammad Dehghani, Gulnara Bektemyssova, Zeinab Montazeri, Galymzhan Shaikemelev, Om Parkash Malik, Gaurav Dhiman
Lyrebird Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems
Biomimetics (Basel, Switzerland)
liver cancer one major death factors world transplantation tumor removal two main therapies common clinical practice tasks need image assisted planning quantitative evaluations automatic liver segmentation required corresponding quantitative evaluations conventional approaches liver segmentation consist finding initial liver border followed tuning border final mask finding liver initial border great importance latter step largely depends initial step previous works liver initial border determined applying thresholding morphological filters order estimate liver initial boundary proposed technique based anatomical knowledge liver surrounding tissues well approach clinician follows screening liver ct dataset based reasoning developed multistep heuristic technique segment liver tissues multislice ct images proposed technique deal various shapes locations liver sizes method evaluated presence 50 actual liver data sets results encouraging