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Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation.

, , , , , , , и . Sensors, 20 (23): 6711 (2020)

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Luís Edmundo Souza Moraes

Philippe De Souza

Luis F Medrano

Fabricio Orellana

Fabricio Ziviani

 

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Automatic Segmentation of Hemorrhagic Stroke on Brain CT Images Using Convolutional Neural Networks Through Fine-Tuning., , , , , , , и . IJCNN, стр. 1-8. IEEE, (2022)New Health of Things Approach to Classification and Detection of Brain Tumors Using Transfer Learning for Segmentation in IMR Images., , , , , , и . IJCNN, стр. 1-8. IEEE, (2023)Automatic lung segmentation in CT images using mask R-CNN for mapping the feature extraction in supervised methods of machine learning using transfer learning., , , , и . Int. J. Hybrid Intell. Syst., 16 (4): 189-205 (2020)Automatic Lung Segmentation in CT Images Using Mask R-CNN for Mapping the Feature Extraction in Supervised Methods of Machine Learning., , , , и . ISDA, том 1181 из Advances in Intelligent Systems and Computing, стр. 140-149. Springer, (2019)Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbines., , , , , и . IJCNN, стр. 1-8. IEEE, (2020)Divisible Cell-Segmentation: A New Approach for Stroke Detection and Segmentation in CT Scans Using Deep Learning and Fine-tuning., , , , , , и . IJCNN, стр. 1-9. IEEE, (2023)New Approach in LPR Systems Using Deep Learning to Classify Mercosur License Plates with Perspective Adjustment., , , , , , , и . ISDA (2), том 715 из Lecture Notes in Networks and Systems, стр. 31-41. Springer, (2022)A Novel Web Platform for COVID-19 diagnosis using X-Ray exams and Deep Learning Techniques., , , , , и . IJCNN, стр. 1-8. IEEE, (2021)Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation., , , , , , , и . Sensors, 20 (23): 6711 (2020)