Brain Tumor Detection Using U-Net Architectures in Industry 4.0 IoT Healthcare industries

Cancer involves the uncontrolled growth and spread of abnormal cells. Normally, cell growth, division, and death are regulated, but disruptions can lead to tumors [1]. Tumors can be benign or malignant; malignant tumors invade nearby tissues and can spread. Over 100 types of cancer are named after their tissue or organ of origin. Benign tumors, like meningiomas and pituitary tumors, grow slowly and rarely spread. Malignant tumors, such as astrocytomas and glioblastomas, are aggressive and hard to treat. Our study focuses on diagnosing three brain conditions: meningiomas, common noncancerous brain tumors in women; pituitary adenomas, slow-growing benign tumors; and gliomas, including astrocytomas and glioblastomas, which vary in aggressiveness [2].

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Publication Details

Published
2024-09-30
DOI
https://doi.org/10.1109/aixset62544.2024.00022
Citations
3
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.74
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article

Brain Tumor Detection Using U-Net Architectures in Industry 4.0 IoT Healthcare industries

Mohsen Asghari Ilani, Yaser Mike Banad
3 citations
Brain Tumor Detection and Classification
0.74
article

Brain Tumor Detection Using U-Net Architectures in Industry 4.0 IoT Healthcare industries

Mohsen Asghari Ilani, Yaser Mike Banad
article en
3 citations

Abstract

Cancer involves the uncontrolled growth and spread of abnormal cells. Normally, cell growth, division, and death are regulated, but disruptions can lead to tumors [1]. Tumors can be benign or malignant; malignant tumors invade nearby tissues and can spread. Over 100 types of cancer are named after their tissue or organ of origin. Benign tumors, like meningiomas and pituitary tumors, grow slowly and rarely spread. Malignant tumors, such as astrocytomas and glioblastomas, are aggressive and hard to treat. Our study focuses on diagnosing three brain conditions: meningiomas, common noncancerous brain tumors in women; pituitary adenomas, slow-growing benign tumors; and gliomas, including astrocytomas and glioblastomas, which vary in aggressiveness [2].

University of Oklahoma (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 27%
Brain Tumor Detection and Classification
0.74
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