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Daniel de Sousa Luz
Daniel de Sousa Luz
Computer Science Professor at Federal Institute of Education Science and Technology of Piauí, Brazil
Verified email at ifpi.edu.br - Homepage
Title
Cited by
Cited by
Year
Automatic detection metastasis in breast histopathological images based on ensemble learning and color adjustment
DS Luz, TJB Lima, RRV Silva, DMV Magalhães, FHD Araujo
Biomedical Signal Processing and Control 75, 103564, 2022
232022
Automatic Identification of Metastasis in Histopathological Images Using Deep Learning
DS Luz, RJO Costa, LR Ricardo de Andrade, JJPC Rodrigues, ...
2020 IEEE International Conference on E-health Networking, Application …, 2021
52021
Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features
T Lima, D Luz, A Oseas, R Veras, F Araújo
Multimedia Tools and Applications, 1-17, 2023
32023
P-FideNet: Plasmodium Falciparum Identification Neural Network
D Cruz, M Claro, R Veras, L Vogado, H Portela, N Moura, D Luz
Advances in Visual Computing: 15th International Symposium, ISVC 2020, San …, 2020
32020
Detecção de COVID-19 em Imagens de Raio-X de Tórax através de Seleção Automática de Pré-processamento e de Rede Neural Convolucional
JOB Diniz, DBP Quintanilha, AO de Carvalho Filho, DL Gomes Jr, ...
Anais do XXIII Simpósio Brasileiro de Computação Aplicada à Saúde, 162-173, 2023
2023
Detection of COVID-19 lesions based on computed tomography using U-Net 2.5 D and GAN
JA Landim, E Carvalho, JO Diniz, A Sousa, D Luz
Anais do XXIII Simpósio Brasileiro de Computação Aplicada à Saúde, 83-94, 2023
2023
Malignant breast lesions detection in histopathological images based on the combination of bioinspired texture descriptors and deep features
D Luz, T Bisneto, T Lima, M Mathew, F Araujo
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2023
2023
Classificação de Nódulos Pulmonares Utilizando Redes Neurais Convolucionais 3D
T Lima, D Luz, R Veras, F Araújo
Anais do XX Simpósio Brasileiro de Computação Aplicada à Saúde, 120-130, 2020
2020
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