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Full-Text Articles in Physical Sciences and Mathematics
Deep Learning For Segmentation Of 3d Cryo-Em Images, Devin Reid Haslam
Deep Learning For Segmentation Of 3d Cryo-Em Images, Devin Reid Haslam
Computer Science Theses & Dissertations
Cryo-electron microscopy (cryo-EM) is an emerging biophysical technique for structural determination of protein complexes. However, accurate detection of secondary structures is still challenging when cryo-EM density maps are at medium resolutions (5-10 Å). Most existing methods are image processing methods that do not fully utilize available images in the cryo-EM database. In this paper, we present a deep learning approach to segment secondary structure elements as helices and β-sheets from medium- resolution density maps. The proposed 3D convolutional neural network is shown to detect secondary structure locations with an F1 score between 0.79 and 0.88 for six simulated test cases. …
Deep Recurrent Learning For Efficient Image Recognition Using Small Data, Mahbubul Alam
Deep Recurrent Learning For Efficient Image Recognition Using Small Data, Mahbubul Alam
Electrical & Computer Engineering Theses & Dissertations
Recognition is fundamental yet open and challenging problem in computer vision. Recognition involves the detection and interpretation of complex shapes of objects or persons from previous encounters or knowledge. Biological systems are considered as the most powerful, robust and generalized recognition models. The recent success of learning based mathematical models known as artificial neural networks, especially deep neural networks, have propelled researchers to utilize such architectures for developing bio-inspired computational recognition models. However, the computational complexity of these models increases proportionally to the challenges posed by the recognition problem, and more importantly, these models require a large amount of data …