{'fraction_non_alphanumeric': 0.010044642857142858, 'fraction_numerical': 0.0, 'mean_word_length': 6.062992125984252, '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}}
Extracting optical scattering properties on the basis of phase contrast images for diagnosing stomach cancer

We combine morphological granulometry with Mie theory in order to analyze phase contrast images of biomedical tissue for cancer diagnosis. This method correlates microscopic phase distributions of the tissue image and macroscopic optical scattering properties of the tissue. Our results show that the particle size density distribution can be used to quantitatively identify morphological changes of cancerous stomach tissues. Our method can distinguish normal tissue from cancerous tissues, using the significant differences in scattering coefficient, reduced scattering coefficient and phase function. Therefore, this method can provide not only quantitative information for the diagnosis of cancer, but also accurate optical scattering parameters for photothermal therapy for cancer.