Results 41 to 50 of about 2,030,943 (157)
GA-Net-Pyramid: An Efficient End-to-End Network for Dense Matching
Dense matching plays a crucial role in computer vision and remote sensing, to rapidly provide stereo products using inexpensive hardware. Along with the development of deep learning, the Guided Aggregation Network (GA-Net) achieves state-of-the-art ...
Yuanxin Xia +5 more
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Introduction: Chemical reaction networks (CRNs) are powerful tools for describing the complex nature of cancer’s onset, progression, and therapy. The main reason for their effectiveness is in the fact that these networks can be rather naturally encoded ...
Sara Sommariva +6 more
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Classification of rotation-invariant biomedical images using equivariant neural networks
Transmission electron microscopy (TEM) is an imaging technique used to visualize and analyze nano-sized structures and objects such as virus particles. Light microscopy can be used to diagnose diseases or characterize e.g. blood cells.
Karl Bengtsson Bernander +3 more
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Image analysis tools for cancer, such as automatic nuclei segmentation, are impacted by the inherent variation contained in pathology image data. Convolutional neural networks (CNN), demonstrate success in generalizing to variable data, illustrating ...
Justin Tyler Pontalba +5 more
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Automated Classification of Glandular Tissue by Statistical Proximity Sampling
Due to the complexity of biological tissue and variations in staining procedures, features that are based on the explicit extraction of properties from subglandular structures in tissue images may have difficulty generalizing well over an unrestricted ...
Jimmy C. Azar +3 more
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The diagnosis of primary open-angle glaucoma (POAG) progression based on structural imaging such as color fundus photos (CFPs) is challenging due to the limited number of early biomarkers, as commonly determined by clinicians, and the inherent ...
Iyad Majid +5 more
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Background With the gradual increase of infertility in the world, among which male sperm problems are the main factor for infertility, more and more couples are using computer-assisted sperm analysis (CASA) to assist in the analysis and treatment of ...
Ao Chen +11 more
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Multiclass Brain Tissue Segmentation in 4D CT Using Convolutional Neural Networks
4D CT imaging has a great potential for use in stroke workup. A fully convolutional neural network (CNN) for 3D multiclass segmentation in 4D CT is presented, which can be trained end-to-end from sparse 2D annotations.
Sil C. Van De Leemput +5 more
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The eukaryotic nucleus is a highly complex structure that carries out multiple functions primarily needed for gene expression, and among them, transcription seems to be the most fundamental.
Livia Eiselleova +5 more
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Development of image analysis and machine learning methods for segmentation of clinically significant pathology in retinal spectral-domain optical coherence tomography (SD-OCT), used in disease detection and prediction, is limited due to the availability
Jing Wu +7 more
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