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Exploring Multi-scale Deep Encoder-Decoder and PatchGAN for Perceptual Ultrasound Image Super-Resolution
Ultrasound visual imaging is currently one of three mainstream image diagnosis technologies in the medical industry, but due to the limitations of...
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Application of three-dimensional image technology in the context of the metaverse in the production of emotional contrast and special effects in animation
Currently, 3D image technology is being used for animation production. As for the current Traditional animation production technology, most of them...
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A novel method for glioma segmentation and classification on pre-operative MRI scans using 3D U-Nets and transfer learning
This research paper proposes a novel approach that harnesses deep learning techniques to address two critical objectives in brain tumor analysis:...
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State of the Art
Human sense of touch provides a wealth of information about the contact condition and the properties of the object being manipulated, such as its...
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Endometriosis detection and localization in laparoscopic gynecology
Endometriosis is a common gynecologic condition typically treated via laparoscopic surgery. Its visual versatility makes it hard to identify for...
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Exploring proton-coupled electron transfer at multiple scales
The coupling of electron and proton transfer is critical for chemical and biological processes spanning a wide range of length and time scales and...
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Hematological image analysis for segmentation and characterization of erythrocytes using FC-TriSDR
In medical science, the scrutiny of blood smears for the abnormality in erythrocyte, leads to decisive determination of several ailments like...
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Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study.
AbstractThe early detection of cancer is a challenging problem in medicine. The blood sera of cancer patients are enriched with heterogeneous...
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Automatic approach for breast cancer detection based on deep belief network using histopathology images
Histopathological images play an essential role in breast cancer diagnosis, prognosis, and treatment planning. Early and accurate diagnosis leads to...
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Digital Pathology Scanners and Contextual Integrity
We aim to bring both digital pathology in general and computational pathology in particular within the scope of Helen Nissenbaum’s theory of...
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SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems
Novel artificial intelligence (AI) technology has expedited various scientific research, e.g., cosmology, physics, and bioinformatics, inevitably...
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Properties and photodetector applications of two-dimensional black arsenic phosphorus and black phosphorus
Two-dimensional (2D) black arsenic phosphorus (b-AsP), as an alloy of black phosphorus (b-P) with arsenic, has attracted great attention because of...
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iSMORE: An Iterative Self Super-Resolution Algorithm
In 3D medical imaging, images with isotropic high resolution (HR) are almost always preferred. In practice, however, many acquired images, including...
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Super-resolution optical microscope: principle, instrumentation, and application
Over the past two decades, several fluorescence- and non-fluorescence-based optical microscopes have been developed to break the diffraction limited...
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Automated fabric defect detection using hybrid particle cat swarm optimizer with deep learning model
Fabric Defect (FD) detection has played an important role in the process of fabric production. FDs lead to a reduction in cloth prices, causing a...
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An improved hair removal algorithm for dermoscopy images
Dermoscopy is commonly used for diagnosing skin cancer in its early stages. However, hair structures in dermoscopy images can negatively affect...
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A Formal Model for the Simulation and Analysis of Early Biofilm Formation
Biofilms are structured communities of bacterial cells adherent to a surface. This bacterial state is called sessile. This paper focuses on the...
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Coupling cell detection and tracking by temporal feedback
The tracking-by-detection strategy is the backbone of many methods for tracking living cells in time-lapse microscopy. An object detector is first...
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Multi-FAN: multi-spectral mosaic super-resolution via multi-scale feature aggregation network
This paper introduces a novel method to super-resolve multi-spectral images captured by modern real-time single-shot mosaic image sensors, also known...
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Registration of Multi-modal Volumetric Images by Establishing Cell Correspondence
Early development of an animal from an egg involves a rapid increase in cell number and several cell fate specification events accompanied by dynamic...