Use of Autoencoders for Improving the Performance of Classification and Interpretation of Convolutional Neural Networks in Histopathological Images.

Daniel C. Macedo

Daniel C. Macedo Fernando M. de Paula Neto Tasso L. O. Moraes Vinicius D. Santos John Wesley Soares de Lima Use of Autoencoders for Improving the Performance of Classification and Interpretation of Convolutional Neural Networks in Histopathological Images. 2350036:1-2350036:20 2024 March 23 Int. J. Comput. Intell. Appl. 1 https://doi.org/10.1142/S1469026823500360 db/journals/ijcia/ijcia23.html#MacedoNMSL24

Daniel C. Macedo John Wesley Soares de Lima Vinicius D. Santos Tasso L. O. Moraes Fernando M. P. Neto Nicksson Arrais Tiago Vinuto João Lucena Evaluating Interpretability in Deep Learning using Breast Cancer Histopathological Images. 276-281 2022 SIBGRAPI https://doi.org/10.1109/SIBGRAPI55357.2022.9991797 conf/sibgrapi/2022 db/conf/sibgrapi/sibgrapi2022.html#MacedoSSOPAVL22 Nicksson Arrais John Wesley Soares de Lima João Lucena Tasso L. O. Moraes Fernando M. de Paula NetoFernando M. P. Neto Vinicius D. Santos Tiago Vinuto