[P-23] Accuracy of nuclear features granulometry to predict malignant lymphomas from undifferentiated carcinoma and lymphocytic benign lesions

Haematoxylin and eosin (HE) morphology of lymphomas and undifferentiated carcinomas are challenging to be distinguished. Ancillary phenotype examinations by immunohistochemistry (IHC) are commonly used however not readily available. Granulometry is mathematical approach to extract objects size distribution from digital image. The aim was to predicts lesion based on HE nuclear granulometry....

Author : Okky Husain, Hermin Aminah Usman, Hasrayati Agustina, Widyawardana Adiprawita, Muhammad Syah Misuari Sabirin
Category : Brief communications