{'fraction_non_alphanumeric': 0.019637462235649546, 'fraction_numerical': 0.0030211480362537764, 'mean_word_length': 5.63, '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}}
Image Processing For Biomedical Application

Karyotyping, a standard method for presenting pictures of the human chromosomes for diagnostic purposes, is a long standing, yet common technique in cytogenetics. Automating the chromosome classification process is the first step in designing an automatic karyotyping system. However, even today, karyotyping is manually performed. Here we intend to automate Karyotyping completely. Karyotyping is a common technique in cytogenetics, to classify human chromosomes into 24 classes. Karyotyping can be used to predict genetic disorders or abnormalities in pre-natal stage which may happen to occur in future generation.