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Deep Neural Networks for Biomedical Image Segmentation: Trends and Best Practices.

, , and . MICAI (1), volume 13067 of Lecture Notes in Computer Science, page 341-352. Springer, (2021)

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Recent Advances in Biomedical Image Segmentation Using Neural Networks., , , , and . Res. Comput. Sci., 149 (6): 73-82 (2020)Performance Evaluation of Artificial Neural Networks Applied in the Classification of Emotions., , , , and . MICAI (1), volume 13067 of Lecture Notes in Computer Science, page 228-238. Springer, (2021)Neurodegenerative diseases categorization by applying the automatic model selection and hyperparameter optimization method., , , and . J. Intell. Fuzzy Syst., 42 (5): 4759-4767 (2022)Deep Neural Networks for Biomedical Image Segmentation: Trends and Best Practices., , and . MICAI (1), volume 13067 of Lecture Notes in Computer Science, page 341-352. Springer, (2021)Supplier classification by applying AutoML., , , and . CCE, page 1-6. IEEE, (2022)Estado del arte de clasificación de nódulos pulmonares utilizando Aprendizaje Automático., , and . Res. Comput. Sci., 148 (7): 429-440 (2019)Accurate Identification of Tomograms of Lung Nodules Using CNN: Influence of the Optimizer, Preprocessing and Segmentation., , , and . MCPR, volume 12088 of Lecture Notes in Computer Science, page 242-250. Springer, (2020)