IIMFCBM: Intelligent integrated model for feature extraction and classification of brain tumors using MRI clinical imaging data in IoT-healthcare
Accurate classification of brain tumors is vital for detecting brain cancer in the Medical
Internet of Things. Detecting brain cancer at its early stages is a tremendous medical …
Internet of Things. Detecting brain cancer at its early stages is a tremendous medical …
[HTML][HTML] MCNN: a multi-level CNN model for the classification of brain tumors in IoT-healthcare system
The classification of brain tumors is significantly important for diagnosing and treating brain
tumors in IoT healthcare systems. In this work, we have proposed a robust classification …
tumors in IoT healthcare systems. In this work, we have proposed a robust classification …
[HTML][HTML] DACBT: Deep learning approach for classification of brain tumors using MRI data in IoT healthcare environment
The classification of brain tumors (BT) is significantly essential for the diagnosis of Brian
cancer (BC) in IoT-healthcare systems. Artificial intelligence (AI) techniques based on …
cancer (BC) in IoT-healthcare systems. Artificial intelligence (AI) techniques based on …
An attention-guided convolutional neural network for automated classification of brain tumor from MRI
Early diagnosis of brain tumor using magnetic resonance imaging (MRI) is vital for timely
medication and effective treatment. But, most people living in remote areas do not have …
medication and effective treatment. But, most people living in remote areas do not have …
A deep learning model based on concatenation approach for the diagnosis of brain tumor
N Noreen, S Palaniappan, A Qayyum, I Ahmad… - IEEE …, 2020 - ieeexplore.ieee.org
Brain tumor is a deadly disease and its classification is a challenging task for radiologists
because of the heterogeneous nature of the tumor cells. Recently, computer-aided …
because of the heterogeneous nature of the tumor cells. Recently, computer-aided …
A brain tumor identification and classification using deep learning based on CNN-LSTM method
R Vankdothu, MA Hameed, H Fatima - Computers and Electrical …, 2022 - Elsevier
Brain tumors are one of the most often diagnosed malignant tumors in persons of all ages.
Recognizing its grade is challenging for radiologists in health monitoring and automated …
Recognizing its grade is challenging for radiologists in health monitoring and automated …
Brain MRI analysis using deep neural network for medical of internet things applications
Researchers are increasingly interested in leveraging the Internet of Things in medical and
healthcare systems to provide better solutions such as remote health monitoring, personal …
healthcare systems to provide better solutions such as remote health monitoring, personal …
[HTML][HTML] Smart brain tumor diagnosis system utilizing deep convolutional neural networks
Y Anagun - Multimedia Tools and Applications, 2023 - Springer
The early diagnosis of cancer is crucial to provide prompt and adequate management of the
diseases. Imaging tests, in particular magnetic resonance imaging (MRI), are the first …
diseases. Imaging tests, in particular magnetic resonance imaging (MRI), are the first …
[HTML][HTML] Btc-fcnn: fast convolution neural network for multi-class brain tumor classification
Timely prognosis of brain tumors has a crucial role for powerful healthcare of remedy-
making plans. Manual classification of the brain tumors in magnetic resonance imaging …
making plans. Manual classification of the brain tumors in magnetic resonance imaging …
A deep learning approach for brain tumor classification using MRI images
Brain tumors can be fatal if not detected early enough. Manually diagnosing brain tumors
requires the radiologist's experience and expertise, which may not always be available …
requires the radiologist's experience and expertise, which may not always be available …