{'fraction_non_alphanumeric': 0.013908205841446454, 'fraction_numerical': 0.0, 'mean_word_length': 5.050420168067227, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Liver Segmentation Algorithms for Clinical Diagnosis

Background: In the recent years, segmentation of the liver has appeared to play a vital role in field of medical applications. Segmentation is one of the important aspect of image processing, that is applied to organs in the human body to identify the tumors and the cancerous cells. Images that are obtained by the Computed Tomography or Magnetic Resonance Images are processed with the help of segmentation to detect the damaged or the infected areas in the body. Method: Lots of algorithms have been implemented for the segmentation purposes in the practice of medicine nowadays. Here, a survey of various liver segmentation algorithms are analyzed and precised.