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Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance., , , , , и . Medical Biol. Eng. Comput., 56 (11): 2125-2136 (2018)Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost., , , , , , , , и . Expert Syst. Appl., (2021)Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans., , , , , , и . Medical Biol. Eng. Comput., 58 (9): 1947-1964 (2020)Lung nodules diagnosis based on evolutionary convolutional neural network., , , , и . Multim. Tools Appl., 76 (18): 19039-19055 (2017)An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks., , , , , и . Comput. Methods Programs Biomed., (2019)Automatic Prostate Segmentation on 3D MRI Scans Using Convolutional Neural Networks with Residual Connections and Superpixels., , , , , и . IWSSIP, стр. 51-56. IEEE, (2020)An ergonomic evaluation method using a mobile depth sensor and pose estimation., , , , , , и . WebMedia, стр. 445-452. ACM, (2019)Deployment of a Machine Learning System for Predicting Lawsuits Against Power Companies: Lessons Learned from an Agile Testing Experience for Improving Software Quality., , , , , , , и . SBQS, стр. 30. ACM, (2020)Convolutional neural network-based PSO for lung nodule false positive reduction on CT images., , , , и . Comput. Methods Programs Biomed., (2018)Heart segmentation in planning CT using 2.5D U-Net++ with attention gate., , , , , , , , и . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 11 (3): 317-325 (мая 2023)