Recent advancements in deep learning based lung cancer detection: A systematic review
Cancer is considered to be a key cause of substantial fatality and morbidity in the world. A
report from the International Agency for Research on Cancer (IARC) states that 27 million …
report from the International Agency for Research on Cancer (IARC) states that 27 million …
A novel deep learning-based intrusion detection system for IOT networks
A Awajan - Computers, 2023 - mdpi.com
The impressive growth rate of the Internet of Things (IoT) has drawn the attention of
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …
Synergizing the enhanced RIME with fuzzy K-nearest neighbor for diagnose of pulmonary hypertension
X Yu, W Qin, X Lin, Z Shan, L Huang, Q Shao… - Computers in Biology …, 2023 - Elsevier
Pulmonary hypertension (PH) is an uncommon yet severe condition characterized by
sustained elevation of blood pressure in the pulmonary arteries. The delaying treatment can …
sustained elevation of blood pressure in the pulmonary arteries. The delaying treatment can …
Intelligent hybrid deep learning model for breast cancer detection
Breast cancer (BC) is a type of tumor that develops in the breast cells and is one of the most
common cancers in women. Women are also at risk from BC, the second most life …
common cancers in women. Women are also at risk from BC, the second most life …
[HTML][HTML] Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor
Early diagnosis of brain tumors is critical for enhancing patient prognosis and treatment
options, while accurate classification and segmentation of brain tumors are vital for …
options, while accurate classification and segmentation of brain tumors are vital for …
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Purpose There are millions of people who lose their life due to several types of fatal
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
Lung cancer detection from CT scans using modified DenseNet with feature selection methods and ML classifiers
MG Lanjewar, KG Panchbhai, P Charanarur - Expert Systems with …, 2023 - Elsevier
Lung cancer is a highly life-threatening disease worldwide, and detection is crucial. In this
study, the Kaggle chest CT-scan images dataset was used to identify lung cancer in four …
study, the Kaggle chest CT-scan images dataset was used to identify lung cancer in four …
En-MinWhale: An ensemble approach based on MRMR and Whale optimization for Cancer diagnosis
According to the WHO, Cancer is a prominent cause of mortality worldwide, accounting for~
10 million fatalities at the end of 2020. The most common types of cancers include Lung …
10 million fatalities at the end of 2020. The most common types of cancers include Lung …
SafetyMed: a novel IoMT intrusion detection system using CNN-LSTM hybridization
The Internet of Medical Things (IoMT) has become an attractive playground to
cybercriminals because of its market worth and rapid growth. These devices have limited …
cybercriminals because of its market worth and rapid growth. These devices have limited …
A novel Parametric Flatten-p Mish activation function based deep CNN model for brain tumor classification
A Mondal, VK Shrivastava - Computers in Biology and Medicine, 2022 - Elsevier
The brain tumor is one of the deadliest diseases of all cancers. Influenced by the recent
developments of convolutional neural networks (CNNs) in medical imaging, we have formed …
developments of convolutional neural networks (CNNs) in medical imaging, we have formed …