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Found 4 papers, 2 papers with code
Automatic Chronic Degenerative Diseases Identification Using Enteric Nervous System Images
In the proposed approach, we have performed the classification task with handcrafted features and deep learning based techniques, also known as non-handcrafted features.
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
We assessed the impact of creating a CXR image database from different sources, and the COVID-19 generalization from one source to another.
Computed Tomography (CT)
Explainable artificial intelligence
+2
A multimodal approach for multi-label movie genre classification
Based on the F-Score metric, our best result, 0. 628, was obtained by the fusion of a classifier created using LSTM on the synopses, and a classifier created using CNN on movie trailer frames.
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
The proposed approach achieved a macro-avg F1-Score of 0. 65 using a multi-class approach and a F1-Score of 0. 89 for the COVID-19 identification in the hierarchical classification scenario.
