Convolutional neural network techniques for brain tumor classification (from 2015 to 2022): Review, challenges, and future perspectives
Y ** review
S Kierner, J Kucharski, Z Kierner - Journal of Biomedical Informatics, 2023 - Elsevier
Background As the application of Artificial Intelligence (AI) technologies increases in the
healthcare sector, the industry faces a need to combine medical knowledge, often …
healthcare sector, the industry faces a need to combine medical knowledge, often …
PSOWNNs‐CNN: A Computational Radiology for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning Methods
A Nomani, Y Ansari, MH Nasirpour… - Computational …, 2022 - Wiley Online Library
Early diagnosis of breast cancer is an important component of breast cancer therapy. A
variety of diagnostic platforms can provide valuable information regarding breast cancer …
variety of diagnostic platforms can provide valuable information regarding breast cancer …
Machine learning methods for intrusive detection of wormhole attack in mobile ad hoc network (MANET)
A wormhole attack is a type of attack on the network layer that reflects routing protocols. The
classification is performed with several methods of machine learning consisting of K‐nearest …
classification is performed with several methods of machine learning consisting of K‐nearest …
A Novel Highway Routing Protocol in Vehicular Ad Hoc Networks Using VMaSC‐LTE and DBA‐MAC Protocols
The vehicular ad hoc networks (VANETs) are an example of mobile networks, which utilizes
dedicated short‐range communication (DSRC) to establish a wireless connection between …
dedicated short‐range communication (DSRC) to establish a wireless connection between …
[Retracted] CT‐ML: Diagnosis of Breast Cancer Based on Ultrasound Images and Time‐Dependent Feature Extraction Methods Using Contourlet Transformation and …
B Hajipour Khire Masjidi, S Bahmani… - Computational …, 2022 - Wiley Online Library
Breast diseases are a group of diseases that appear in different forms. An entire group of
these diseases is breast cancer. This disease is one of the most important and common …
these diseases is breast cancer. This disease is one of the most important and common …
FDCNet: Presentation of the fuzzy CNN and fractal feature extraction for detection and classification of tumors
The detection of brain tumors using magnetic resonance imaging is currently one of the
biggest challenges in artificial intelligence and medical engineering. It is important to identify …
biggest challenges in artificial intelligence and medical engineering. It is important to identify …
[HTML][HTML] Designing a system for battery thermal management: Cooling LIBs by nano-encapsulated phase change material
This study has designed and employed computational fluid dynamics to cool lithium-ion
batteries (LIBs) to keep the temperature constant between 35 and 45° C. A duct was …
batteries (LIBs) to keep the temperature constant between 35 and 45° C. A duct was …
MAENet: A novel multi-head association attention enhancement network for completing intra-modal interaction in image captioning
N Hu, C Fan, Y Ming, F Feng - Neurocomputing, 2023 - Elsevier
Image captioning attracts much attention as it bridges computer vision and natural language
processing. Recent works show that transformer-based models with the multi-head self …
processing. Recent works show that transformer-based models with the multi-head self …
Classification of Brain Tumor based on Machine Learning Algorithms: A Review
Brain tumor classification using machine learning algorithms is pivotal for medical
diagnostics, particularly in magnetic resonance imaging (MRI) analysis. This review …
diagnostics, particularly in magnetic resonance imaging (MRI) analysis. This review …