{'fraction_non_alphanumeric': 0.022727272727272728, 'fraction_numerical': 0.0, 'mean_word_length': 5.890625, '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}}
Robust segmentation of myocardial tissue in ultrasound images

In many ultrasound examinations, an important task is to distinguish between areas of different characteristics, e.g. myocardial tissue and blood. While many studies have reported on exact border determination-which usually requires operator's intervention, this article reports on a reliable, automatic method for differentiation between blood and tissue in ultrasound images.