Results 41 to 50 of about 2,030,943 (157)

GA-Net-Pyramid: An Efficient End-to-End Network for Dense Matching

open access: yesRemote Sensing, 2022
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
doaj   +1 more source

In-silico modelling of the mitogen-activated protein kinase (MAPK) pathway in colorectal cancer: mutations and targeted therapy

open access: yesFrontiers in Systems Biology, 2023
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
doaj   +1 more source

Classification of rotation-invariant biomedical images using equivariant neural networks

open access: yesScientific Reports
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
doaj   +1 more source

Assessing the Impact of Color Normalization in Convolutional Neural Network-Based Nuclei Segmentation Frameworks

open access: yesFrontiers in Bioengineering and Biotechnology, 2019
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
doaj   +1 more source

Automated Classification of Glandular Tissue by Statistical Proximity Sampling

open access: yesInternational Journal of Biomedical Imaging, 2015
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
doaj   +1 more source

Automated Detection and Biomarker Identification Associated with the Structural and Functional Progression of Glaucoma on Longitudinal Color Fundus Images

open access: yesApplied Sciences
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
doaj   +1 more source

Deep learning methods for noisy sperm image classification from convolutional neural network to visual transformer: a comprehensive comparative study

open access: yesIntelligent Medicine
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
doaj   +1 more source

Multiclass Brain Tissue Segmentation in 4D CT Using Convolutional Neural Networks

open access: yesIEEE Access, 2019
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
doaj   +1 more source

The Role of RNA Polymerase II Contiguity and Long-Range Interactions in the Regulation of Gene Expression in Human Pluripotent Stem Cells

open access: yesStem Cells International, 2019
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
doaj   +1 more source

Multivendor Spectral-Domain Optical Coherence Tomography Dataset, Observer Annotation Performance Evaluation, and Standardized Evaluation Framework for Intraretinal Cystoid Fluid Segmentation

open access: yesJournal of Ophthalmology, 2016
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
doaj   +1 more source

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