使用磁共振成像和机器学习方法的脑肿瘤检测和分类

B. Sree, N. K. Krishna Rao, Chennupalli Srinivasulu, T. P. Kumar, Valisetty Ramaneesh, J. B. Narayana, Sourav Dutta
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引用次数: 2

摘要

目前,脑肿瘤检测已成为医疗保健领域的一个难题。肿瘤是由细胞的过度生长和分裂引起的肿胀或病态的增大。一般来说,细胞生长和分裂产生新的细胞。肿瘤和癌症不一样;肿瘤可能是恶性或癌前病变。机器学习的应用在医学领域占有重要地位。因此,机器学习技术被有效地用于检测脑肿瘤并在早期阶段进行预防。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brain Tumor Detection and Classification using Magnetic Resonance Imaging and Machine Learning Approaches
Nowadays, Brain tumor detection has turned into a casualty in the health care sector. A tumor is a swelling or a morbid enlargement caused by an overabundant growth of cells and their division. Generally, cells grow and divide to make new cells controlled. A tumor is not the same as cancer; tumors may be malignant or premalignant. The usage of Machine Learning holds a significant stand in the medical field. Hence, Machine Learning techniques are being used efficiently to detect brain tumor and prevent it at an early stage.
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