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Lung Cancer Essays

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Lung cancer is a serious health issue that affects millions of people worldwide. We’ll delve into the many features of lung cancer in this essay, looking at its causes, types, and ways to prevent it. We must arm ourselves with the knowledge to fight this sickness properly.

Lung cancer causes

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Lung Cancer and Smoking: Analytical Essay

Abstract Female non-smokers face a much higher risk of death from lung cancer over the last few years. Many causes explain why lung cancer rates have skyrocketed among the women non-smokers. The increase in mortality risk from lung cancer in female never-smokers can be due to causes including environmental tobacco smoke, radon(a radioactive gas found in nature in soil and rocks)asbestos, outdoor and indoor air pollution. This literature study has shown that in addition to these cases it is likely...
3 Pages 1279 Words

Lung Cancer Definition And Treatment

What is lung cancer? Lung cancer has become the most prevalent and threatening cancer worldwide. Parallel to most malignancies, lung cancer is composed of sub-populations of cells with distinct molecular features, resulting in intra-tumoral heterogeneity (Herbst,, 2018). There are two types of lung cancer; small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) (Molina,, 2008). NSCLC accounts for around 85% of all cancer incidents, whereas SCLC only accounts for 15% (Herbst,, 2008). NSCLC can be...
3 Pages 1500 Words

The Lung Cancer: Symptoms, Diagnosis, Causes And Treatment

Introduction As a point of departure, to understand how a tumour appears in our lungs we have to know how is our lungs anatomy. As we all know, the lungs are two organs located in the thorax and they carry out the breathing. They are separated by an area called mediastinum, where the heart, trachea, esophagus and blood vessels are founded. The air reaches the lungs through the trachea which is divided in tow principal bronchus, one on the right...
2 Pages 1079 Words

Lung Cancer Detection and Classification Using SVM

Abstract— Image processing techniques are widely used in several medical problems for image enhancement in the detection phase to support early medical treatment. In this research, we aim to improve quality and accuracy of early detection of lung cancer through a combination of image processing techniques and machine learning. The Cancer Imaging Archive (TCIA) dataset has been used for training and testing purpose where DICOM is the primary format used for image storage. Classification is done using SVM (Support Vector...
4 Pages 1996 Words

Analysis of Lung Cancer Using CT-scan by Neural Network Classifier

Abstract: Lung cancer is one of the most increasing diseases in the rapidly changing world. This disease can be cured in the initial stage. It should be identified at the early stage for diagnosis purposes. The prediction of lung disease stages can be done using image processing techniques. The proposed algorithm consists of a segmentation process using Dual-Tree Complex Wavelet Transform (DT-CWT). The segmented lungs are subjected to the feature extraction process which includes the Gray Level Co-occurrence (GLCM) algorithm....
4 Pages 1593 Words

AI And Diagnosis Of Lung Cancer

In recent years, AI has gradually entered the medical field. Artificial intelligence continues to break through the sensitivity and specificity of machine-assisted diagnosis at the ‘digital’ level, and exerts its value in multiple scenarios. However, many products are still far from large-scale clinical applications, and it is not easy to obtain the approval of clinicians. For the big names in the medical profession, whether the ability of AI really reflects the value clinically is the key point. From February 21...
2 Pages 1088 Words

Detecting Lung Cancer Using CNN For Live Dataset

Abstract The mortality rate due to lung cancer is increasing rapidly day by day. The major reason behind this increasing mortality rate is not being able to detect the lung cancer at an early stage. Even due to advancement in technology, the number of radiologists is limited and they are being overworked. Various methods which are based on technologies like deep learning and CNN (Convolutional Neural Network) have been developed to automatically detect lung cancer through medical images. This paper...
2 Pages 1063 Words

Polonium And Lung Cancer

Natural resources are simply the naturally occurring of resources where. People use these natural resources like water, woods, coals, lead, and many more in their daily lives for medical and construction purposes. This has benefited in the lives of many people and also has advanced in the evolution of the industries and modernization of the world. However, with the modernization and overexploitation of natural resources, it has affected the environment and human health in the past years. This evolution in...
2 Pages 943 Words

Diet And Lifestyle For The Prevention Of Cancer

ABSTRACT Cancer is the disease that results when cellular changes cause the uncontrolled growth of cells. Cancer causes fast cell growth. There are several causes of cancer, and few are preventable. Genetic factors also cause the cancer. Cigarate smoking, lot of alcohol consumption, excess weight, physical inactivity and poor nutrition, these causes cancer and these are preventable causes. The chances of developing cancers may be reduced by not smoking, maintaining a healthy weight, not drinking lot of alcohol, eating lot...
2 Pages 997 Words

Lung Nodule Classification Using Convolutional Neural Network

Why was this study ⁇ As cancer, one of the leading cause of death worldwide, with lung cancer being the second most significant diagnosed cancer in both men and women in US [ref] and the dismal five year survival rate of 16% is in part due to lack of symptoms during early stages and lack of effective screening test until recently [ref]. Hence detection at the earliest may decrease the mortality rate. Tumor staging based on coarse and discrete stratification...
6 Pages 2802 Words

Lung Nodules Detection Based Convolutional Neural Network (CNN) for Deep Learning Classification

Abstract: Lung cancer is one of the most serious cancers in the world, with the smallest survival rate after the diagnosis. In CT scans, lung nodules appear as dense masses of various shapes and sizes. They may be isolated from or attached to other structures such as blood vessels or the pleura. In this paper a detection of Candidate Nodules (solitary or juxtapleural in a 2D CT slice is achieved using two schemes of segmentation and enhancement algorithms. Convolutional Neural...
9 Pages 3966 Words
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