An exhaustive review of the metaheuristic algorithms for search and optimization: Taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
[HTML][HTML] The applications of genetic algorithms in medicine
A great wealth of information is hidden amid medical research data that in some cases
cannot be easily analyzed, if at all, using classical statistical methods. Inspired by nature …
cannot be easily analyzed, if at all, using classical statistical methods. Inspired by nature …
Segmentation of lung nodules using improved 3D-UNet neural network
Lung cancer has one of the highest morbidity and mortality rates in the world. Lung nodules
are an early indicator of lung cancer. Therefore, accurate detection and image segmentation …
are an early indicator of lung cancer. Therefore, accurate detection and image segmentation …
Convolutional neural network-based PSO for lung nodule false positive reduction on CT images
GLF Da Silva, TLA Valente, AC Silva… - Computer methods and …, 2018 - Elsevier
Background and objective Detection of lung nodules is critical in CAD systems; this is
because of their similar contrast with other structures and low density, which result in the …
because of their similar contrast with other structures and low density, which result in the …
Automatic nodule detection for lung cancer in CT images: A review
G Zhang, S Jiang, Z Yang, L Gong, X Ma, Z Zhou… - Computers in biology …, 2018 - Elsevier
Automatic lung nodule detection has great significance for treating lung cancer and
increasing patient survival. This work summarizes a critical review of recent techniques for …
increasing patient survival. This work summarizes a critical review of recent techniques for …
On the performance of lung nodule detection, segmentation and classification
Computed tomography (CT) screening is an effective way for early detection of lung cancer
in order to improve the survival rate of such a deadly disease. For more than two decades …
in order to improve the survival rate of such a deadly disease. For more than two decades …
A novel approach to CAD system for the detection of lung nodules in CT images
M Javaid, M Javid, MZU Rehman, SIA Shah - Computer methods and …, 2016 - Elsevier
Detection of pulmonary nodule plays a significant role in the diagnosis of lung cancer in
early stage that improves the chances of survival of an individual. In this paper, a computer …
early stage that improves the chances of survival of an individual. In this paper, a computer …
Lung nodule detection from feature engineering to deep learning in thoracic CT images: a comprehensive review
This paper presents a systematic review of the literature focused on the lung nodule
detection in chest computed tomography (CT) images. Manual detection of lung nodules by …
detection in chest computed tomography (CT) images. Manual detection of lung nodules by …
Design of lung nodules segmentation and recognition algorithm based on deep learning
H Yu, J Li, L Zhang, Y Cao, X Yu, J Sun - BMC bioinformatics, 2021 - Springer
Background Accurate segmentation and recognition algorithm of lung nodules has great
important value of reference for early diagnosis of lung cancer. An algorithm is proposed for …
important value of reference for early diagnosis of lung cancer. An algorithm is proposed for …
Lung nodules diagnosis based on evolutionary convolutional neural network
GLF da Silva, OP da Silva Neto, AC Silva… - Multimedia Tools and …, 2017 - Springer
Lung cancer presents the highest cause of death among patients around the world, in
addition of being one of the smallest survival rates after diagnosis. In this paper, we exploit a …
addition of being one of the smallest survival rates after diagnosis. In this paper, we exploit a …