Results 61 to 70 of about 8,124,451 (335)

Lung Cancer Classification and Prediction Using Machine Learning and Image Processing

BioMed Research International, 2022
Lung cancer is a potentially lethal illness. Cancer detection continues to be a challenge for medical professionals. The true cause of cancer and its complete treatment have still not been discovered.
Sharmila Nageswaran, G. Arunkumar, Anil Kumar Bisht, Shivlal Mewada, J. Kumar, Malik Jawarneh, Evans Asenso   +6 more
semanticscholar   +1 more source

Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network

, 2018
Histology imaging is an essential diagnosis method to finalize the grade and stage of cancer of different tissues, especially for breast cancer diagnosis. Specialists often disagree on the final diagnosis on biopsy tissue due to the complex morphological
DM Greig, JG Elmore, MN Gurcan, PP Rosen, T Araújo   +4 more
core   +1 more source

Tumor localization in tissue microarrays using rotation invariant superpixel pyramids [PDF]

, 2015
Tumor localization is an important component of histopathology image analysis; it has yet to be reliably automated for breast cancer histopathology. This paper investigates the use of superpixel classification to localize tumor regions.
Akbar, Shazia, Jordan, Lee, McKenna, Stephen J., Thompson, Alastair M.   +3 more
core   +3 more sources

Cancer Classification from Gene Expression Using Ensemble Learning with an Influential Feature Selection Technique

BioMedInformatics
Uncontrolled abnormal cell growth, known as cancer, may lead to tumors, immune system deterioration, and other fatal disability. Early cancer identification makes cancer treatment easier and increases the recovery rate, resulting in less mortality.
Nusrath Tabassum, Md Abdus Samad Kamal, M. A. H. Akhand, Kou Yamada   +3 more
doaj   +1 more source

A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification

IEEE Access, 2019
The emergence of DNA Microarray technology has enabled researchers to analyze the expression level of thousands of genes simultaneously. The Microarray data analysis is the process of finding the most informative genes as well as remove redundant and ...
Nada Almugren, Hala Alshamlan
doaj   +1 more source

Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system

Frontiers in Surgery, 2022
This study first presents an analysis of the prevalence and associated factors of the lung metastasis (LM) database and then uses this analysis to construct an LM classification system.
Xiaolong Lv, Lei Yang, Tianyu Liu, Zelin Yang, Chenhao Jia, Huanwen Chen   +5 more
doaj   +1 more source

Greylag goose optimization and multilayer perceptron for enhancing lung cancer classification

Scientific Reports
Lung cancer is an important global health problem, and it is defined by abnormal growth of the cells in the tissues of the lung, mostly leading to significant morbidity and mortality.
El-Sayed M. Elkenawy, A. Alhussan, D. S. Khafaga, Zahraa Tarek, Ahmed M. Elshewey   +4 more
semanticscholar   +1 more source

LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification

Technology in Cancer Research and Treatment, 2022
Objective: The only possible solution to increase the patients’ fatality rate is lung cancer early-stage detection. Recently, deep learning techniques became the most promising methods in medical image analysis compared with other numerous computer-aided
Zeyu Ren, Yudong Zhang, Shuihua Wang
semanticscholar   +1 more source

Typing tumors using pathways selected by somatic evolution. [PDF]

, 2018
Many recent efforts to analyze cancer genomes involve aggregation of mutations within reference maps of molecular pathways and protein networks. Here, we find these pathway studies are impeded by molecular interactions that are functionally irrelevant to
Huang, Justin, Ideker, Trey, Ma, Jianzhu, Peng, Jian, Shen, John Paul, Wang, Sheng, Zhang, Wei   +6 more
core   +3 more sources

Secure and Transparent Lung and Colon Cancer Classification Using Blockchain and Microsoft Azure

Advances in Respiratory Medicine
Highlights The study presents a novel framework for remote consultation and lung and colon cancer classification, leveraging blockchain technology and Microsoft Azure cloud services to ensure data privacy and security.
E. Eliwa, Amr Mohamed El Koshiry, Tarek Abd El-Hafeez, Ahmed Omar   +3 more
semanticscholar   +1 more source