3 documents found, page 1 of 1
Comprehensive perspective for lung cancer characterisation based on AI solution...
Pereira, T; Freitas, C; Costa, JL; Morgado, J; Silva, F; Negrão, E; Lima, BF; Silva, MC; Madureira, AJ; Ramos, I; Hespanhol, V; Cunha, A; Oliveira, HPLung cancer is still the leading cause of cancer death in the world. For this reason, novel approaches for early and more accurate diagnosis are needed. Computer-aided decision (CAD) can be an interesting option for a noninvasive tumour characterisation based on thoracic computed tomography (CT) image analysis. Until now, radiomics have been focused on tumour features analysis, and have not considered the infor...
Sharing biomedical data: Strengthening ai development in healthcare
Pereira, T; Morgado, J; Silva, F; Pelter, MM; Dias, VR; Barros, R; Freitas, C; Negrão, E; Lima, BF; Silva, MC; Madureira, AJ; Ramos, I; Hespanhol, VArtificial intelligence (AI)-based solutions have revolutionized our world, using extensive datasets and computational resources to create automatic tools for complex tasks that, until now, have been performed by humans. Massive data is a fundamental aspect of the most powerful AI-based algorithms. However, for AI-based healthcare solutions, there are several socioeconomic, technical/infrastructural, and most i...
Machine learning and feature selection methods for egfr mutation status predict...
Morgado, J; Pereira, T; Silva, F; Freitas, C; Negrão, E; Lima, BF; Silva, MC; Madureira, AJ; Ramos, I; Hespanhol, V; Costa, JL; Cunha, A; Oliveira, HPThe evolution of personalized medicine has changed the therapeutic strategy from classical chemotherapy and radiotherapy to a genetic modification targeted therapy, and although biopsy is the traditional method to genetically characterize lung cancer tumor, it is an invasive and painful procedure for the patient. Nodule image features extracted from computed tomography (CT) scans have been used to create machin...