Performance analysis of liver tumor classification using machine learning algorithms
Munipraveena Rela, Nagaraja Rao Suryakari, Patil Reddy, Patil Reddy, M Rela, N Suryakari, P Reddy, A Jemal, F Bray, M Center, J Ferlay, E Ward, D Forman, Bucak, S Baki, L Rusk, G Bekes, M Fidrich, A Das, P Das, S Panda, S Sabut, J Balogh, Iii D Victor, E Asham, S Burroughs, M Boktour, A Saharia, B Li, C Chui, S Chang, S Ong, M Rela, S Rao, P Reddy, R Ranjbarzadeh, S Saadi, K Machhale, H Nandpuru, V Kapur, L Kosta, T Nadira, Z Rustam, S Zhen, M Cheng, Y Tao, Y Wang, S Juengpanich, Z Jiang, E Trivizakis, G Manikis, K Nikiforaki, K Drevelegas, M Constantinides, A Drevelegas, H Kutlu, E Avc, M Rela, R Nagaraja, R Ramana, L Balagourouchetty, J Pragatheeswaran, B Pottakkat, G Ramkumar, Budak, Y Guo, E Tanyildizi, A engr, D Zhang, B Chen, J Chong, S Li, R Devi, V Seenivasagam, A Krishan, D Mittal, C Burges, J Keller, M Gray, J Givens, N Sairamya, L Susmitha, S George, M Subathra, P Chandra, C Bharathi
Abstract
The biggest glandular biological structure in the human body is liver. It is involved in a variety of bodily functions, including metabolism, digestion, and detoxification The spleen, stomach, pancreas, gall bladder, and intestine are related to this organ through blood arteries. Hepatic disorders have major effects on the remaining organs as a result of liver functional diversity and vascular connectivity. The fifth most common cancer in males is liver cancer across the world *Author for correspondence Medical imaging is crucial for tumor identification, its diagnosis, surgical planning and interventional therapy [3]. Because of its high spatial resolution, high imaging speed, and low cost, CT is frequently used for diagnosis, and multiphase contrast-enhanced CT is also commonly suggested for the abdomen imaging. Multiphase can increase the characterization and detection of liver abnormalities [4]. Contrast-enhancement makes liver tumor segmentation much more difficult because the characteristics of a tumor might change depending on scan delay, contrast dose, clinical stage, and tumor variety. CT image segmentation of the liver tumors has got a lot of attention due to the poor contrast and imprecise boundaries [5].