A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems

Chen, 2021, An annotation-free whole-slide training approach to pathological classification of lung cancer types using deep learning, Nat Commun, 12, 1 Zhuang, 2022, An effective WSSENet-based similarity retrieval method of large lung CT image databases, vol. 16 Amini, 2021, Overall survival prognostic modelling of non-small cell lung cancer patients using positron emission tomography/computed tomography harmonised radiomics features: the quest for the optimal machine learning algorithm, Clin Oncol, 34, 114, 10.1016/j.clon.2021.11.014 Zou, 2021, Breath profile as composite biomarkers for lung cancer diagnosis, Lung Cancer, 154, 206, 10.1016/j.lungcan.2021.01.020 Chaunzwa, 2021, Deep learning classification of lung cancer histology using CT images, Sci Rep, 11, 1, 10.1038/s41598-021-84630-x Doppalapudi, 2021, Lung cancer survival period prediction and understanding: deep learning approaches, Int J Med Inform, 148, 10.1016/j.ijmedinf.2020.104371 Thimmapuram, 2021, Deep learning for lung cancer prediction: a study on NSCLC patients, 41 Lu, 2023, Iterative reconstruction of low-dose CT based on differential sparse, Biomed Signal Process Control, 79, 10.1016/j.bspc.2022.104204 Vahdat, 2022, Clinical profile, outcome and management of kidney disease in COVID-19 patients–a narrative review, Eur Rev Med Pharmacol Sci, 26, 2188 Shahidi, 2022, The clinical course and risk factors in COVID-19 patients with acute kidney injury, J Fam Med Prim Care, 11, 6183, 10.4103/jfmpc.jfmpc_231_22 Yang, 2023, Motion prediction for beating heart surgery with GRU, Biomed Signal Process Control, 83, 10.1016/j.bspc.2023.104641 Masud, 2021, A machine learning approach to diagnosing lung and colon cancer using a deep learning-based classification framework, Sensors, 21, 748, 10.3390/s21030748 Wang, 2021, Automatic prognosis of lung cancer using heterogeneous deep learning models for nodule detection and eliciting its morphological features, Appl Intell, 51, 2471, 10.1007/s10489-020-01990-z Wang, 2023, Surface-functionalized design of blood-contacting biomaterials for preventing coagulation and promoting hemostasis, Friction, 1 Pour-Abbasi, 2023, Dietary energy density, metabolic parameters, and blood pressure in a sample of adults with obesity, BMC Endocr Disord, 23, 1, 10.1186/s12902-022-01243-9 Sujitha, 2021, Classification of lung cancer stages with machine learning over big data healthcare framework, J Ambient Intell Humaniz Comput, 12, 5639, 10.1007/s12652-020-02071-2 Shandilya, 2022, Analysis of lung cancer by using deep neural network, 427 Alzubaidi, 2021, Comprehensive and comparative global and local feature extraction framework for lung cancer detection using CT scan images, IEEE Access, 9, 158140, 10.1109/ACCESS.2021.3129597 Hashemzadeh, 2021, A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications, Sci Rep, 11, 1, 10.1038/s41598-021-89352-8 Naik, 2021, Lung nodule classification on computed tomography images using deep learning, Wireless Pers Commun, 116, 655, 10.1007/s11277-020-07732-1 Marentakis, 2021, Lung cancer histology classification from CT images based on radiomics and deep learning models, Med Biol Eng Comput, 59, 215, 10.1007/s11517-020-02302-w Rout, 2021, Comparative study of machine learning algorithms for predicting lung cancer, 381 Heuvelmans, 2021, Lung cancer prediction by deep learning to identify benign lung nodules, Lung Cancer, 154, 1, 10.1016/j.lungcan.2021.01.027 Heidari, 2021, The COVID-19 epidemic analysis and diagnosis using deep learning: a systematic literature review and future directions, Comput Biol Med, 141 Liang, 2022, Study on clinical dispensing rules of TCM prescriptions for ovarian cancer based on data mining technology, European Journal of Gynaecological Oncology, 121 Trajanovski, 2021, Towards radiologist-level cancer risk assessment in CT lung screening using deep learning, Comput Med Imaging Graph, 90, 10.1016/j.compmedimag.2021.101883 Deng, 2021, Predict multicategory causes of death in lung cancer patients using clinicopathologic factors, Comput Biol Med, 129, 10.1016/j.compbiomed.2020.104161 Jünger, 2021, Fully automated MR detection and segmentation of brain metastases in non-small cell lung cancer using deep learning, J Magn Reson Imaging, 54, 1608, 10.1002/jmri.27741 Wang, 2021, Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning, Comput Med Imaging Graph, 91, 10.1016/j.compmedimag.2021.101935 Xiong, 2022, DCGNN: a single-stage 3D object detection network based on density clustering and graph neural network, Complex Intell Syst, 1 Chapala, 2021, IoT based lung cancer detection using machine learning and cuckoo search optimization, Int J Pervasive Comput Commun, 17, 549, 10.1108/IJPCC-10-2020-0160 Jin, 2022, Fives: a fundus image dataset for artificial intelligence based vessel segmentation, Sci Data, 9, 475, 10.1038/s41597-022-01564-3 Sori, 2021, DFD-net: lung cancer detection from denoised CT scan image using deep learning, Front Comp Sci, 15, 1 Duan, 2022, Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning, Eur Radiol, 32, 702, 10.1007/s00330-021-08126-y Liu, 2022, Recent advances in pulse-coupled neural networks with applications in image processing, Electronics, 11, 3264, 10.3390/electronics11203264 Ban, 2022, 2D/3D multimode medical image alignment based on spatial histograms, Appl Sci, 12, 8261, 10.3390/app12168261 Salman, 2021, Using deep learning techniques in detecting lung cancer, 135 Song, 2021, The deep learning model combining CT image and clinicopathological information for predicting ALK fusion status and response to ALK-TKI therapy in non-small cell lung cancer patients, Eur J Nucl Med Mol Imaging, 48, 361, 10.1007/s00259-020-04986-6 Chao, 2021, Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography, Nat Commun, 12, 1, 10.1038/s41467-021-23235-4 Yan, 2021, Method of reaching consensus on probability of food safety based on the integration of finite credible data on block chain, IEEE Access, 9, 123764, 10.1109/ACCESS.2021.3108178 Abid, 2021, Multi-view convolutional recurrent neural networks for lung cancer nodule identification, Neurocomputing, 453,, 299, 10.1016/j.neucom.2020.06.144 Shakeel, 2019, Lung cancer detection from CT image using improved profuse clustering and deep learning instantaneously trained neural networks, Measurement, 145, 702, 10.1016/j.measurement.2019.05.027 Toğaçar, 2021, Disease type detection in lung and colon cancer images using the complement approach of inefficient sets, Comput Biol Med, 137, 10.1016/j.compbiomed.2021.104827 Zhao, 2021, A weighted discriminative extreme learning machine design for lung cancer detection by an electronic nose system, IEEE Trans Instrum Meas., 70, 1 Chamberlin, 2021, Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value, BMC Med, 19, 1, 10.1186/s12916-021-01928-3 Shimazaki, 2022, Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method, Sci Rep, 12, 1, 10.1038/s41598-021-04667-w Feng, 2022, Deep learning-based chest CT image features in diagnosis of lung cancer, Comput Math Methods Med, 2022, 10.1155/2022/4153211 Kedia, 2021, CoVNet-19: a deep learning model for the detection and analysis of COVID-19 patients, Appl Soft Comput, 104, 10.1016/j.asoc.2021.107184 Angeline, 2022, Identifying malignancy of lung cancer using deep learning concepts, 35 Thakur, 2022, Lung cancer: detection and classification of malignancies, 451 Cui, 2022, Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program, Eur J Radiol, 146, 10.1016/j.ejrad.2021.110068 Guo, 2021, Novel computer-aided lung cancer detection based on convolutional neural network-based and feature-based classifiers using metaheuristics, Int J Imaging Syst Technol, 31, 1954, 10.1002/ima.22608 Ibrahim, 2021, Deep-chest: multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases, Comput Biol Med, 132, 10.1016/j.compbiomed.2021.104348 Qin, 2022, Improved image fusion method based on sparse decomposition, Electronics, 11, 2321, 10.3390/electronics11152321 Zheng, 2022, Visualization of Zika virus infection via a light-initiated bio-orthogonal cycloaddition labeling strategy, 10