Texture, Morphology, and Statistical Analysis to Differentiate Primary Brain Tumors on Two-Dimensional Magnetic Resonance Imaging Scans Using Artificial Intelligence Techniques

Objectives A primary brain tumor starts to grow from brain cells, and it occurs as a result of errors in the DNA of normal cells. Therefore, this study was carried out to analyze the two-dimensional (2D) texture, morphology, and statistical features of brain tumors and to perform a classification us...

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Detalhes bibliográficos

Principais autores:	Subrata Bhattacharjee, Deekshitha Prakash, Cho-Hee Kim, Hee-Cheol Kim, Heung-Kook Choi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	The Korean Society of Medical Informatics 2022-01-01
coleção:	Healthcare Informatics Research
Assuntos:	brain tumor magnetic resonance imaging deep learning machine learning classification
Acesso em linha:	http://e-hir.org/upload/pdf/hir-2022-28-1-46.pdf
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