Lung cancer recognition and prediction according to random forest ensemble and RUSBoost algorithm using LIDC data

[1]  Volodymyr Ponomaryov,et al.  Automatic Lung nodule segmentation and classification in CT images based on SVM , 2016, 2016 9th International Kharkiv Symposium on Physics and Engineering of Microwaves, Millimeter and Submillimeter Waves (MSMW).

[2]  Mohamed Cheriet,et al.  Gabor filter-based texture for ancient degraded document image binarization , 2018, Pattern Analysis and Applications.

[3]  Taghi M. Khoshgoftaar,et al.  RUSBoost: A Hybrid Approach to Alleviating Class Imbalance , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[4]  Robertas Damasevicius,et al.  A neuro-heuristic approach for recognition of lung diseases from X-ray images , 2019, Expert Syst. Appl..

[5]  K. Lewis,et al.  Longitudinal study to assess impact of smoking at diagnosis and quitting on 1-year survival for people with non-small cell lung cancer. , 2019, Lung cancer.

[6]  Kunal Kalra,et al.  Feature extraction and LDA based classification of lung nodules in chest CT scan images , 2015, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[7]  Arti Patle,et al.  Classification of lung image and nodule detection using fuzzy inference system , 2015, International Conference on Computing, Communication & Automation.

[8]  I. Rajapakse,et al.  Single Chromosome Aneuploidy Induces Genome-Wide Perturbation of Nuclear Organization and Gene Expression , 2019, Neoplasia.

[9]  E. Chan.  Vulnerability to Nontuberculous Mycobacterial Lung Disease or Systemic Infection Due to Genetic/Heritable Disorders , 2018, Nontuberculous Mycobacterial Disease.

[10]  J. Luketich,et al.  Factors influencing recurrence following anatomic lung resection for clinical stage I non-small cell lung cancer. , 2019, Lung cancer.

[11]  K. Awai,et al.  Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists' detection performance. , 2004, Radiology.

[12]  Hayit Greenspan,et al.  Lung nodule retrieval using semantic similarity estimates , 2019, Medical Imaging.

[13]  R. Rajesh,et al.  Lung Cancer Detection Using CT Scan Images: A Review on Various Image Processing Techniques , 2019 .

[14]  C. Wittekind,et al.  Predictive risk factors for lymph node metastasis in patients with resected non-small cell lung cancer: a case control study , 2019, Journal of Cardiothoracic Surgery.

[15]  Mohammad Atikur Rahman,et al.  Breast Cancer Prediction Applying Different Classification Algorithm with Comparative Analysis using WEKA , 2018, 2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT).

[16]  Yu-Chen Zhang,et al.  Pulmonary Nodule Detection Based on CT Images Using Convolution Neural Network , 2016, 2016 9th International Symposium on Computational Intelligence and Design (ISCID).

[17]  Siddharth Bhatia,et al.  Lung Cancer Detection: A Deep Learning Approach , 2018, SocProS.

[18]  Sruthi Ignatious,et al.  Computer aided lung cancer detection system , 2015, 2015 Global Conference on Communication Technologies (GCCT).

[19]  S. Govindaraju,et al.  Lung tumour detection and classification using EK-Mean clustering , 2016, 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).

[20]  M. S. Kavitha,et al.  ECM-CSD: An Efficient Classification Model for Cancer Stage Diagnosis in CT Lung Images Using FCM and SVM Techniques , 2019, Journal of Medical Systems.

[21]  Dipti Prasad Mukherjee,et al.  Improved Random Forest for Classification , 2018, IEEE Transactions on Image Processing.