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Found 4 papers, 1 papers with code
Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders
For the recognition sub-network, the outputs of three fully connected layers, utilizing feature maps of two encoders and FFM, are aggregated to obtain a final lesion class.
Multi-class probabilistic atlas-based whole heart segmentation method in cardiac CT and MRI
Accurate and robust whole heart substructure segmentation is crucial in developing clinical applications, such as computer-aided diagnosis and computer-aided surgery.
CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images
Our source codes and model are publicly available at https://github. com/kamruleee51/CVR-Net.
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks
The evaluation metric accuracy and loss along with 5-fold cross validation was used to compare and select the best performing architecture.
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