A comprehensive survey on the progress, process, and challenges of lung cancer detection and classification

MF Mridha, AR Prodeep, ASMM Hoque… - Journal of …, 2022 - Wiley Online Library
Lung cancer is the primary reason of cancer deaths worldwide, and the percentage of death
rate is increasing step by step. There are chances of recovering from lung cancer by …

Stark assessment of lifestyle based human disorders using data mining based learning techniques

M Sharma, G Singh, R Singh - IRBM, 2017 - Elsevier
Background: Medical informatics has observed an unrestrained growth in the database.
Latest advancements in the field of medical sciences have wiped out lots of critical diseases …

Prediction and classification of lung cancer using machine learning techniques

P Chaturvedi, A Jhamb, M Vanani… - IOP conference series …, 2021 - iopscience.iop.org
In all the disease that have existed in mankind lung cancer has emerged as one of the most
fata one time and again. Also, it is one of the most common and contributing to deaths …

Detection of lung cancer from CT image using image processing and neural network

MBA Miah, MA Yousuf - 2015 International conference on …, 2015 - ieeexplore.ieee.org
Detection of lung cancer is the most interesting research area of researcher's in early stages.
The proposed system is designed to detect lung cancer in premature stage in two stages …

An intelligent lung cancer diagnosis system using cuckoo search optimization and support vector machine classifier

M Prabukumar, L Agilandeeswari… - Journal of Ambient …, 2019 - Springer
One of the leading causes of cancer death for both men and women is the lung cancer. The
best way to improve the patient's chances for survival is the early detection of potentially …

A comparative analysis of segmentation techniques for lung cancer detection

P Tripathi, S Tyagi, M Nath - Pattern Recognition and Image Analysis, 2019 - Springer
Cancer is the major cause of death worldwide. Lung cancer is one of the most common
types of cancer and is the main reason of cancer death. Lung cancer is defined as a …

[PDF][PDF] Lung cancer detection using SVM algorithm and optimization techniques

A Asuntha, A Brindha, S Indirani… - J. Chem. Pharm. Sci, 2016 - researchgate.net
This paper discusses the formation of Lung cancer detection system by using the techniques
of Image processing. The system formed can take any type of medical image within the three …

Lung nodule diagnosis from CT images based on ensemble learning

FV Farahani, A Ahmadi… - 2015 IEEE Conference on …, 2015 - ieeexplore.ieee.org
Early detection of cancer is the most promising way to enhance a patient's chance for
survival. This paper presents a computer-aided classification method using computed …

SegChaNet: a novel model for lung cancer segmentation in CT scans

MA Cifci - Applied Bionics and Biomechanics, 2022 - Wiley Online Library
Accurate lung tumor identification is crucial for radiation treatment planning. Due to the low
contrast of the lung tumor in computed tomography (CT) images, segmentation of the tumor …

Classification of lung cancer stages on CT scan images using image processing

A Kulkarni, A Panditrao - 2014 IEEE International Conference …, 2014 - ieeexplore.ieee.org
Lung cancer is the uncontrolled growth of abnormal cells that starts off in one or both
images. People who smoke have the greatest risk of lung cancer. The overall 5 year survival …