Image Processing and Machine Learning-Based Classification and Detection of Liver Tumor

This article presents a technique for the classification and identification of liver cancers that is based on image processing and machine learning. The approach may be found here. During the preprocessing stage of picture creation, the fuzzy histogram equalization method is applied in order to bring about a reduction in image noise. After that, the photographs are divided into many parts in order to zero down on the area of interest. For this particular classification task, the RBF-SVM approach, the ANN method, and the random forest method are all applied.PMID:35928918 | PMC:PMC9345695 | DOI:10.1155/2022/3398156

Source: Biomed Res - August 5, 2022 Category: Research Authors: V Durga Prasad Jasti Enagandula Prasad Manish Sawale Shivlal Mewada Manoj L Bangare Pushpa M Bangare Sunil L Bangare F Sammy Source Type: research