Cancer detection and segmentation using machine learning and deep learning techniques: A review
HM Rai - Multimedia Tools and Applications, 2024 - Springer
Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …
to other type's human diseases. The most common and dangerous types of cancers are lung …
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 …
Bayesian dynamic profiling and optimization of important ranked energy from gray level co-occurrence (GLCM) features for empirical analysis of brain MRI
L Hussain, AA Malibari, JS Alzahrani, M Alamgeer… - Scientific Reports, 2022 - nature.com
Accurate classification of brain tumor subtypes is important for prognosis and treatment.
Researchers are developing tools based on static and dynamic feature extraction and …
Researchers are developing tools based on static and dynamic feature extraction and …
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
This study presents a comprehensive systematic review focusing on the applications of deep
learning techniques in lung cancer radiomics. Through a rigorous screening process of 589 …
learning techniques in lung cancer radiomics. Through a rigorous screening process of 589 …
A novel myocarditis detection combining deep reinforcement learning and an improved differential evolution algorithm
Myocarditis is a serious cardiovascular ailment that can lead to severe consequences if not
promptly treated. It is triggered by viral infections and presents symptoms such as chest pain …
promptly treated. It is triggered by viral infections and presents symptoms such as chest pain …
[PDF][PDF] An Automated Lion-Butterfly Optimization (LBO) based Stacking Ensemble Learning Classification (SELC) Model for Lung Cancer Detection
V Suganya, S Selvi, N Ashokkumar, S Prema - Iraqi Journal For Computer …, 2023 - iasj.net
Lung cancer is one of the most serious and prevalent cancers in the globe. Early detection of
lung cancer can increase a patient's chances of life. Computed Tomography (CT) scan …
lung cancer can increase a patient's chances of life. Computed Tomography (CT) scan …
[PDF][PDF] Health poverty, educational capital and industrial integration of rural households: An empirical study based on micro-data
Y Wang, J Deng, BSX Teo… - International Journal of …, 2022 - academia.edu
Health and Manpower, which are essential issues affecting socio-economic development
(Koišová et al., 2021). In particular, the health of the inhabitants of the farming community …
(Koišová et al., 2021). In particular, the health of the inhabitants of the farming community …