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A New System for Lung Cancer Diagnosis based on the Integration of Global and Local CT Features., , , , , , , , и . IST, стр. 1-6. IEEE, (2019)On The Integration of CT-Derived Features for Accurate Detection of Lung Cancer., , , , , , , и . ISSPIT, стр. 435-440. IEEE, (2018)Kidney segmentation from CT images using a 3D NMF-guided active contour model., , , , , , , , и . ISBI, стр. 432-435. IEEE, (2016)Image-based CAD system for accurate identification of lung injury., , , , , , , , и . ICIP, стр. 121-125. IEEE, (2016)A New Computer-Aided Diagnostic (Cad) System For Precise Identification Of Renal Tumors., , , , , , , , , и . ISBI, стр. 1378-1381. IEEE, (2021)A Novel Framework for Accurate and Non-Invasive Pulmonary Nodule Diagnosis by Integrating Texture and Contour Descriptors., , , , , , и . ISBI, стр. 1883-1886. IEEE, (2021)A Comprehensive Computer-Assisted Diagnosis System for Early Assessment of Renal Cancer Tumors., , , , , , , , , и 2 other автор(ы). Sensors, 21 (14): 4928 (2021)Hand Crafted Features for Efficient Lung Cancer Diagnosis Using Stacked Autoencoder., , , и . ICPR, стр. 4378-4384. IEEE, (2022)A Novel CT-Based Descriptors for Precise Diagnosis of Pulmonary Nodules., , , , , , , , и . ICIP, стр. 1400-1404. IEEE, (2019)Radiomic-Based Framework for Early Diagnosis of Lung Cancer., , , , , , , и . ISBI, стр. 1293-1297. IEEE, (2019)