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 …
Diagnosis of breast cancer using machine learning techniques-a survey
Breast cancer is a disease in which the cells of the breast develop unnaturally and
uncontrollably, resulting in a mass called a tumor. If lumps in the breast are not addressed …
uncontrollably, resulting in a mass called a tumor. If lumps in the breast are not addressed …
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 …
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 …
Diagnostic approach for accurate diagnosis of COVID-19 employing deep learning and transfer learning techniques through chest X-ray images clinical data in E …
COVID-19 is a transferable disease that is also a leading cause of death for a large number
of people worldwide. This disease, caused by SARS-CoV-2, spreads very rapidly and …
of people worldwide. This disease, caused by SARS-CoV-2, spreads very rapidly and …
An integrative machine learning framework for classifying SEER breast cancer
Breast cancer is the commonest type of cancer in women worldwide and the leading cause
of mortality for females. The aim of this research is to classify the alive and death status of …
of mortality for females. The aim of this research is to classify the alive and death status of …
[HTML][HTML] Artificial intelligence in medical diagnostics: A review from a South African context
Abstract Historically, South Africa, a develo** country, has battled numerous chronic
diseases such as Cancer, Diabetes, and Tuberculosis. Even though significant efforts are …
diseases such as Cancer, Diabetes, and Tuberculosis. Even though significant efforts are …
[Retracted] IoT‐Based Hybrid Ensemble Machine Learning Model for Efficient Diabetes Mellitus Prediction
Nowadays, there is a growing need for Internet of Things (IoT)‐based mobile healthcare
applications that help to predict diseases. In recent years, several people have been …
applications that help to predict diseases. In recent years, several people have been …
[HTML][HTML] Comparative study of IoT-and AI-based computing disease detection approaches
The emergence of different computing methods such as cloud-, fog-, and edge-based
Internet of Things (IoT) systems has provided the opportunity to develop intelligent systems …
Internet of Things (IoT) systems has provided the opportunity to develop intelligent systems …
[HTML][HTML] Using embedded feature selection and CNN for classification on CCD-INID-V1—A new IoT dataset
As Internet of Things (IoT) networks expand globally with an annual increase of active
devices, providing better safeguards to threats is becoming more prominent. An intrusion …
devices, providing better safeguards to threats is becoming more prominent. An intrusion …