Deep learning modelling techniques: current progress, applications, advantages, and challenges
Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …
A comprehensive review on brain tumor segmentation and classification of MRI images
CS Rao, K Karunakara - Multimedia Tools and Applications, 2021 - Springer
In the analysis of medical images, one of the challenging tasks is the recognition of brain
tumours via medical resonance images (MRIs). The diagnosis process is still tedious due to …
tumours via medical resonance images (MRIs). The diagnosis process is still tedious due to …
Bankruptcy prediction using the XGBoost algorithm and variable importance feature engineering
S Ben Jabeur, N Stef, P Carmona - Computational Economics, 2023 - Springer
The emergence of big data, information technology, and social media provides an enormous
amount of information about firms' current financial health. When facing this abundance of …
amount of information about firms' current financial health. When facing this abundance of …
Evaluation of feature selection methods based on artificial neural network weights
Weight-based feature selection (WBFS) are methods used to measure the contribution of
input to output in a trained artificial neural network (ANN). Furthermore, algorithms such as …
input to output in a trained artificial neural network (ANN). Furthermore, algorithms such as …
MRI brain tumor detection using optimal possibilistic fuzzy C-means clustering algorithm and adaptive k-nearest neighbor classifier
DM Kumar, D Satyanarayana, MNG Prasad - Journal of Ambient …, 2021 - Springer
Brain tumor characterizes the aggregation of abnormal cells in specific tissues of the brain
zone. The prior distinguishing proof of brain tumors has a huge influence on the treatment …
zone. The prior distinguishing proof of brain tumors has a huge influence on the treatment …
An effective of ensemble boosting learning method for breast cancer virtual screening using neural network model
AH Osman, HMA Aljahdali - IEEE Access, 2020 - ieeexplore.ieee.org
Radial Based Function Neural Network models (RBFNN) are currently used deep-rooted
methods for assessing the stages of diagnosis of chronic diseases. The goals of this …
methods for assessing the stages of diagnosis of chronic diseases. The goals of this …
[Retracted] Adaptive Diagnosis of Lung Cancer by Deep Learning Classification Using Wilcoxon Gain and Generator
Cancer is a complicated worldwide health issue with an increasing death rate in recent
years. With the swift blooming of the high throughput technology and several machine …
years. With the swift blooming of the high throughput technology and several machine …
ALNett: A cluster layer deep convolutional neural network for acute lymphoblastic leukemia classification
Abstract Acute Lymphoblastic Leukemia (ALL) is cancer in which bone marrow
overproduces undeveloped lymphocytes. Over 6500 cases of ALL are diagnosed every year …
overproduces undeveloped lymphocytes. Over 6500 cases of ALL are diagnosed every year …
Smoke detection in video using convolutional neural networks and efficient spatio-temporal features
M Hashemzadeh, N Farajzadeh, M Heydari - Applied Soft Computing, 2022 - Elsevier
Fire detection in its early stages is of a great importance in different environmental related
applications. Among the visual signs of fire, smoke appears earlier than the flames in many …
applications. Among the visual signs of fire, smoke appears earlier than the flames in many …
CNN-based deep learning technique for the brain tumor identification and classification in MRI images
A brain tumor is an abnormal development of cells in the brain that are either benign or
malignant. Magnetic resonance imaging (MRI) is used to identify tumors. Manual evaluation …
malignant. Magnetic resonance imaging (MRI) is used to identify tumors. Manual evaluation …