Brain Tumor Segmentation by EM Algorithm

Central nervous system lesions are a heterogeneous group of diseases including neoplastic and non-neoplastic. The incidence of CNS tumors in India was about 1.9% of all the tumors. Various studies have been done on CNS tumors across the India and world. Aim and Objective: To study the different lesions in different age and sex group Grade wise analysis of lesions Analysed the lesions according to the site To study the non-neoplastic lesions. The aim of this study is to analyses the various patterns of CNS lesions and compare with the other studies Materials and Methods: A retrospective analysis of CNS lesions are studied in the department of pathology, Saveetha Medical College and Hospital, Thandalam, Chennai, over one year from January to December 2019, Results and conclusion: A total of 200 CNS lesions were analyzed, 98(49%) were males and 102 cases (51%) were females. The maximum age is 75 and the minimum age is 2 years. The most common lesions were grade I 79(39.5%) followed by grade II 16(8%), grade III 7(3.5%) and grade IV 15(7.5%) The study showed various histological patterns of central nervous system lesions in different age groups, location, frequency, and incidence.

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An Automatic Identification of Lung Cancer from different types of Medical Images

Gayathri¹,

Vaidhehi²

2019

RJPT

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Brain Tumor Segmentation by EM Algorithm

Cited by 3 publications

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The Monte Carlo Algorithm for Image Segmentation Based on the MRF Model

The Monte Carlo Algorithm for Image Segmentation Based on the MRF Model

CNS Lesions- Case series analysis in a Tertiary Care Hospital

An Automatic Identification of Lung Cancer from different types of Medical Images

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