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Optimized Drug Design using Multi-Objective Evolutionary Algorithms with SELFIES
Computer aided drug design is a promising approach to reduce the tremendous costs, i. e. time and resources, for developing new medicinal drugs.
Deep-learning models in medical image analysis: Detection of esophagitis from the Kvasir Dataset
Early detection of esophagitis is important because this condition can progress to cancer if left untreated.
Generating corneal panoramic images from contact specular microscope images
This study proposes a framework to automatically generate an entire corneal image from videos captured using a contact specular microscope.
Performance Comparison of Deep Learning Architectures for Artifact Removal in Gastrointestinal Endoscopic Imaging
Various architectures have been proposed for the CNNs, and the accuracy of artifact removal varies depending on the choice of architecture.
