Automated Histopathological Diagnosis of Pediatric Medulloblastoma - A Review Study

摘要

Microscopic image based analysis plays an important role in histopathological computer based diagnostics. Identification of childhood medulloblastoma and its proper subtype from biopsy tissue specimen of childhood tumor is an integral part for prognosis. The extent of survival of patients highly depends on prior identification and treatment of childhood Medulloblastoma. Computer based algorithms and techniques have been used to assist pathologist and doctors by means of various methodologies. Clinical diagnosis was studied to gain insight of the malignancy and the phases a patient undergoes when diagnosed with childhood Medulloblastoma. This paper presents an overview of the work in the area of childhood Medulloblastoma by image processing, addressing several issues in histopathological processing including slide preparation, microscopic observation, clinical features, diagnostic evaluation, texture analysis, feature extraction and classification. It is a very recent topic of importance and seriousness as it is a pediatric CNS tumor. This review will present an insight to readers about the clinical aspects and computer based trials by scientist for Computer aided diagnostics of childhood Medulloblastoma.