Computer aided model for lung cancer classification using cat optimized convolutional neural networks

Bharati, 2020, Comparative performance analysis of different classification algorithm for the purpose of classification of lung cancer, vol. 941, 447 Coudray, 2018, Classification and mutation classification from non–small cell lung cancer histopathology images using deep learning, Nat. Med., 24, 1559, 10.1038/s41591-018-0177-5 Nie, 2015, Disease inference from health-related questions via sparse deep learning, IEEE Trans. Knowl. Data Eng., 27, 2107, 10.1109/TKDE.2015.2399298 Nie, 2015, Beyond doctors: future health classification from multimedia and multimodal observations, 591 Sun, 2016, Computer aided lung cancer diagnosis with deep learning algorithms, vol. 9785, 1 Zhou, 2002, Lung cancer cell identification based on artificial neural network ensembles, Artif. Intell. Med., 24, 25, 10.1016/S0933-3657(01)00094-X Dhaware, 2016, “ Lung cancer detection using Bayesian classifier and fcm segmentation,”, 170 da Silva, 2016, Taxonomic indexes for differentiating malignancy of lung nodules on CT images, Research on Biomedical Engineering, 32, 263, 10.1590/2446-4740.04615 Park, 2011, Computer-aided detection of early interstitial lung diseases using low-dose CT images, Phys. Med. Biol., 56, 1139, 10.1088/0031-9155/56/4/016 Song, 2017, Using deep learning for classification of lung nodules on computed tomography images, Journal of Healthcare Engineering, 2017, 1, 10.1155/2017/8314740 Ignatious, 2015, Computer aided lung cancer detection system, 555 de Bruijne, 2016, Machine learning approaches in medical image analysis: from detection to diagnosis, Med. Image Anal., 33, 94, 10.1016/j.media.2016.06.032 Jindal, 2018, SeDaTiVe: SDN-enabled deep learning architecture for network traffic control in vehicular cyber-physical systems, IEEE Network, 32, 66, 10.1109/MNET.2018.1800101 Nalepa, 2019, Selecting training sets for support vector machines: a review, Artif. Intell. Rev., 52, 857, 10.1007/s10462-017-9611-1 Ganesan, 2010, Application of neural networks in diagnosing cancer disease using demographic data, Int. J. Comput. Appl., 1, 76 Singh, 2020, Deep learning-based SDN model for internet of things: an incremental tensor train approach, IEEE Internet Things J., 7, 6302, 10.1109/JIOT.2019.2953537 Shen, 2017, Deep learning in medical image analysis, Annu. Rev. Biomed. Eng., 19, 221, 10.1146/annurev-bioeng-071516-044442 Suzuki, 2017, Overview of deep learning in medical imaging, Radiol. Phys. Technol., 10, 257, 10.1007/s12194-017-0406-5 Bharati, 2020, Hybrid deep learning for detecting lung diseases from X-ray images, Inform. Med. Unlocked, 20, 10.1016/j.imu.2020.100391 Jothi, 2012, Soft set based feature selection approach for lung cancer images, Computing Research Repository, abs/1212.5391, 1 Masood, 2020, Cloud-based automated clinical decision support system for detection and diagnosis of lung cancer in chest CT, IEEE Journal of Translational Engineering in Health and Medicine, 8, 1, 10.1109/JTEHM.2019.2955458 Anthimopoulos, 2016, Lung pattern classification for interstitial lung diseases using a deep convolutional neural network, IEEE Trans. Med. Imag., 35, 1207, 10.1109/TMI.2016.2535865 Jakimovski, 2019, Using double convolution neural network for lung cancer stage detection, Appl. Sci., 9, 427, 10.3390/app9030427 Yu, 2020, Deep learning assisted predict of lung cancer on computed tomography images using the adaptive hierarchical heuristic mathematical model, IEEE Access, 8, 86400, 10.1109/ACCESS.2020.2992645 Asuntha, 2020, Deep learning for lung cancer detection and classification, Multimed. Tool. Appl., 79, 7731, 10.1007/s11042-019-08394-3 Chauhan, 2016, An efficient data mining classification approach for detecting lung cancer disease, 1 Shakeel, 2020 Wong, 2018, Development of a breath detection method based e-nose system for lung cancer identification, 1119 Xie, 2019, Knowledge-based collaborative deep learning for benign-malignant lung nodule classification on chest CT, IEEE Trans. Med. Imag., 38, 991, 10.1109/TMI.2018.2876510 Vikas, 2021, Lung cancer detection using chi-square feature selection and support vector machine algorithm, Int. J. Adv. Trends Comput. Sci. Eng., 10, 2050, 10.30534/ijatcse/2021/801032021 Pei, 2015, Spatial affine transformations of images by using fractional shift fourier transform, 1586 Banerjee, 2016, A novel GBM saliency detection model using multi-channel MRI, PLoS One, 11, 10.1371/journal.pone.0146388 Takács, 2018, MRI brain tumor segmentation combining saliency and convolutional network features, 1 Ronneberger, 2015, U-net: convolutional networks for biomedical image segmentation, 234 Wang, 2017, Automatic brain tumor segmentation using cascaded anisotropic convolutional neural networks, 178 Liyakathunisa, 2022, Cat swarm optimization-based computer-aided diagnosis model for lung cancer classification in computed tomography images, Appl. Sci., 12, 1 Armato, 2015 Tan, 2011, A novel computer-aided lung nodule detection system for CT images, Med. Phys., 38, 5630, 10.1118/1.3633941 Hatuwal, 2020, Lung cancer detection using convolutional neural network on histopathological images, Int. J. Comput. Trends Technol., 68, 21, 10.14445/22312803/IJCTT-V68I10P104 Ren, 2017, Faster R-CNN: towards real-time object detection with region proposal networks, IEEE Trans. Pattern Anal. Mach. Intell., 39, 1137, 10.1109/TPAMI.2016.2577031 van Ginneken, 2015, Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans, 286 Kumar, 2015, Lung nodule classification using deep features in CT images, 133 Shen, 2017, Multi-crop convolutional neural networks for lung nodule malignancy suspiciousness classification, Pattern Recogn., 61, 663, 10.1016/j.patcog.2016.05.029 Masood, 2020, Automated decision support system for lung cancer detection and classification via enhanced RFCN with multilayer fusion RPN, IEEE Trans. Ind. Inf., 16, 7791, 10.1109/TII.2020.2972918 Aharonu, 2022, Convolutional neural network based framework for automatic lung cancer detection from lung ct images, 1 Preethi, 2022, Novel lung cancer detection using ANN classifier in comparison with Decision Tree to measure the Accuracy, Sensitivity, Specificity and Precision, 528