Brain tumor detection and classification using machine learning: a comprehensive survey
J Amin, M Sharif, A Haldorai, M Yasmin… - Complex & intelligent …, 2022 - Springer
Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …
COVID-19 patient health prediction using boosted random forest algorithm
Integration of artificial intelligence (AI) techniques in wireless infrastructure, real-time
collection, and processing of end-user devices is now in high demand. It is now superlative …
collection, and processing of end-user devices is now in high demand. It is now superlative …
BiLSTM deep neural network model for imbalanced medical data of IoT systems
M Woźniak, M Wieczorek, J Siłka - Future Generation Computer Systems, 2023 - Elsevier
Health informatics is one of the most developed field in recent time. Computational
Intelligence is among the most influential factors that may help to improve patient oriented …
Intelligence is among the most influential factors that may help to improve patient oriented …
Applications and challenges of cloud integrated IoMT
Abstract The Internet of Medical Things (IoMT) refers to the medical devices and applications
that connect healthcare information technology (IT) systems via computer networks. This …
that connect healthcare information technology (IT) systems via computer networks. This …
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques
Cervical cancer, one of the most common fatal cancers among women, can be prevented by
regular screening to detect any precancerous lesions at early stages and treat them. Pap …
regular screening to detect any precancerous lesions at early stages and treat them. Pap …
An internet of health things‐driven deep learning framework for detection and classification of skin cancer using transfer learning
A Khamparia, PK Singh, P Rani… - Transactions on …, 2021 - Wiley Online Library
Abstract As specified by World Health Organization, the occurrence of skin cancer has been
growing over the past decades. At present, 2 to 3 million nonmelanoma skin cancers and …
growing over the past decades. At present, 2 to 3 million nonmelanoma skin cancers and …
Diagnosis of breast cancer based on modern mammography using hybrid transfer learning
Breast cancer is a common cancer in women. Early detection of breast cancer in particular
and cancer, in general, can considerably increase the survival rate of women, and it can be …
and cancer, in general, can considerably increase the survival rate of women, and it can be …
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm
Breast cancer is one of the leading causes of death in the current age. It often results in
subpar living conditions for a patient as they have to go through expensive and painful …
subpar living conditions for a patient as they have to go through expensive and painful …
IoT enabled technology in secured healthcare: applications, challenges and future directions
In current years, Internet of Things has come a long way and is well emerged within many
organizations and fields covering the sector of healthcare. The continuous execution of IoT …
organizations and fields covering the sector of healthcare. The continuous execution of IoT …
CAM-VT: A weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer
Z Fan, X Wu, C Li, H Chen, W Liu, Y Zheng… - Computers in Biology …, 2023 - Elsevier
Cervical cancer is the fourth most common cancer among women, and cytopathological
images are often used to screen for this cancer. However, manual examination is very …
images are often used to screen for this cancer. However, manual examination is very …