[Retracted] PSO‐Based Evolutionary Approach to Optimize Head and Neck Biomedical Image to Detect Mesothelioma Cancer

S Praveen, N Tyagi, B Singh, GR Karetla… - BioMed Research …, 2022 - Wiley Online Library
Mesothelioma is a form of cancer that is aggressive and fatal. It is a thin layer of tissue that
covers the majority of the patient's internal organs. The treatments are available; however, a …

[HTML][HTML] A model for Mesothelioma cancer diagnosis based on feature selection using Harris hawk optimization algorithm

F Zadsafar, H Tabrizchi, S Parvizpour… - Computer Methods and …, 2022 - Elsevier
Malignant mesothelioma is a rare but aggressive kind of cancer that mainly occurs in the
mesothelial surfaces of the lung or chest cavity, abdomen, or other internal organs. Early …

[Retracted] Classification and Detection of Mesothelioma Cancer Using Feature Selection‐Enabled Machine Learning Technique

M Shobana, VR Balasraswathi… - BioMed Research …, 2022 - Wiley Online Library
Cancer of the mesothelium, sometimes referred to as malignant mesothelioma (MM), is an
extremely uncommon form of the illness that almost always results in death. Chemotherapy …

[PDF][PDF] Optimized Feature Selection and Image Processing Based Machine Learning Technique for Lung Cancer Detection

DP Nancy, SR Kishan, KP Rane, DK Kaliyaperumal… - IJEER, 2022 - academia.edu
░ ABSTRACT-The primary contributor to lung cancer is an abnormal proliferation of lung
cells. Tobacco usage and smoking cigarettes are the primary contributors to the …

[HTML][HTML] A novel framework for prognostic factors identification of malignant mesothelioma through association rule mining

TM Alam, K Shaukat, IA Hameed, WA Khan… - … Signal Processing and …, 2021 - Elsevier
Malignant mesothelioma (MM) is a rare cancer type arising from mesothelial cells. The
current clinical diagnosis is based on contrast-enhanced computed tomography, magnetic …

Suitable supervised machine learning techniques for malignant mesothelioma diagnosis

KY Win, N Maneerat, S Choomchuay… - 2018 11th …, 2018 - ieeexplore.ieee.org
Malignant Mesothelioma (MM) is a rare, aggressive cancer that grows in the lining of the
internal organs such as lung, abdomen or heart. Fousing on MM diagnosis, in this paper, we …

Predicting cancer using supervised machine learning: Mesothelioma

A Choudhury - Technology and Health Care, 2021 - content.iospress.com
BACKGROUND: Pleural Mesothelioma (PM) is an unusual, belligerent tumor that rapidly
develops into cancer in the pleura of the lungs. Pleural Mesothelioma is a common type of …

A comparative study on machine learning algorithms and a hybrid model of genetic algorithm and neural network for mesothelioma diagnosis

M Leong - … IEEE Conference on Computational Intelligence in …, 2020 - ieeexplore.ieee.org
Mesothelioma is an aggressive type of lung cancer that is caused by breathing in asbestos
fibers. This paper presents an empirical comparative study on the application of various …

[HTML][HTML] Applications of neural network-based plan-cancer method for primary diagnosis of mesothelioma cancer

D Kapila, S Panwar, MKMM Raja… - BioMed Research …, 2023 - ncbi.nlm.nih.gov
Abstract “Malignant mesothelioma (MM)” is an uncommon although fatal form of cancer. The
proper MM diagnosis is crucial for efficient therapy and has significant medicolegal …

[PDF][PDF] Multi-tier hybrid feature selection by combining filter and wrapper for subset feature selection in cancer classification

B Sahu - Indian Journal of Science and …, 2019 - sciresol.s3.us-east-2.amazonaws …
Objectives: We have implemented a bio-inspired algorithm, particle swarm optimization
method of miRNA subset selection to indentify the irreverent and redundant miRNAs for …