[HTML][HTML] Lung nodule diagnosis and cancer histology classification from computed tomography data by convolutional neural networks: A survey
Lung cancer is among the deadliest cancers. Besides lung nodule classification and
diagnosis, developing non-invasive systems to classify lung cancer histological …
diagnosis, developing non-invasive systems to classify lung cancer histological …
Marine predators algorithm: A review
Abstract Marine Predators Algorithm (MPA) is a recent nature-inspired optimizer stemmed
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …
from widespread foraging mechanisms based on Lévy and Brownian movements in ocean …
Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm
Recently, research has shown an increased spread of non-communicable diseases such as
cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in …
cancer. Lung cancer diagnosis and detection has become one of the biggest obstacles in …
Improving pneumonia detection in chest X-rays using transfer learning approach (AlexNet) and adversarial training
The method outlined in this paper employs transfer learning and adversarial training to
enhance the precision of pneumonia identification in chest X-rays. The authors use the …
enhance the precision of pneumonia identification in chest X-rays. The authors use the …
[HTML][HTML] Marine predators algorithm: A comprehensive review
S Mugemanyi, Z Qu, FX Rugema, Y Dong… - Machine Learning with …, 2023 - Elsevier
Marine predators algorithm (MPA) is a recently proposed metaheuristic algorithm that
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …
Nonlinear hammerstein system identification: A novel application of marine predator optimization using the key term separation technique
The mathematical modelling and optimization of nonlinear problems arising in diversified
engineering applications is an area of great interest. The Hammerstein structure is widely …
engineering applications is an area of great interest. The Hammerstein structure is widely …
A survey on human cancer categorization based on deep learning
A Ibrahim, HK Mohamed, A Maher… - Frontiers in Artificial …, 2022 - frontiersin.org
In recent years, we have witnessed the fast growth of deep learning, which involves deep
neural networks, and the development of the computing capability of computer devices …
neural networks, and the development of the computing capability of computer devices …
Multi-layered non-local bayes model for lung cancer early diagnosis prediction with the internet of medical things
Y Hussain Ali, S Chinnaperumal, R Marappan, SK Raju… - Bioengineering, 2023 - mdpi.com
The Internet of Things (IoT) has been influential in predicting major diseases in current
practice. The deep learning (DL) technique is vital in monitoring and controlling the …
practice. The deep learning (DL) technique is vital in monitoring and controlling the …
VCNet: Hybrid deep learning model for detection and classification of lung carcinoma using chest radiographs
Detection of malignant lung nodules from Computed Tomography (CT) images is a
significant task for radiologists. But, it is time-consuming in nature. Despite numerous …
significant task for radiologists. But, it is time-consuming in nature. Despite numerous …
A systematic review on deep learning‐based automated cancer diagnosis models
Deep learning is gaining importance due to its wide range of applications. Many researchers
have utilized deep learning (DL) models for the automated diagnosis of cancer patients. This …
have utilized deep learning (DL) models for the automated diagnosis of cancer patients. This …