A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model
Márcus Vinícius Lobo Costa Erikson Júlio de Aguiar; Lucas Santiago Rodrigues; Jonathan da Silva Ramos; Caetano Traina Junior; Agma Juci Machado Traina; International Symposium on Computer-Based Medical Systems - CBMS (36. 2023 L'Aquila, Italy)
Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers
Leandro Alves Neves João Manuel Cardoso Martinez; Leonardo Henrique da Costa Longo; Guilherme Freire Roberto; Thaína Aparecida Azevedo Tosta; Paulo Rogério de Faria; Adriano Mota Loyola; Sérgio Vitorino Cardoso; Adriano Barbosa Silva; Marcelo Zanchetta do Nascimento; Guilherme Botazzo Rozendo; International Conference on Enterprise Information Systems - ICEIS (25. 2023 Prague, Czech Republic)
How to automatically identify regions of interest in high-resolution images of lung biopsy for interstitial fibrosis diagnosis
Oscar Alonso Cuadros Linares Bruno Squizato Faiçal; Paulo Renato Campos Barbosa; Bernd Hamann; Alexandre Todorovic Fabro; Agma Juci Machado Traina; International Symposium on Computer-Based Medical Systems - CBMS (32. 2019 Córdoba)
Efficient segmentation of cell nuclei in histopathological images
Oscar Alonso Cuadros Linares Aurea Soriano-Vargas; Bruno Squizato Faiçal; Bernd Hamann; Alexandre Todorovic Fabro; Agma Juci Machado Traina; IEEE International Symposium on Computer-Based Medical Systems - CBMS (33. 2020 Rochester, USA)
A two-phase learning approach for the segmentation of dermatological wounds
Wellington S Silva Daniel L Jasbick; Rodrigo E Wilson; Paulo Mazzoncini de Azevedo-Marques; Agma Juci Machado Traina; Lúcio F. D Santos; Ana Elisa Serafim Jorge; Daniel de Oliveira; Marcos Vinícius Naves Bêdo; International Symposium on Computer-Based Medical Systems - CBMS (32. 2019 Córdoba)