检索结果-内蒙古大学图书馆

IEEE International Symposium on Biomedical Imaging

作者： Mohamed T. Azzam Ahmed Alksas Hossam Magdy Balaha Asmaa Hassan Mohamed Shehata Nagham E. Mekky Noha A. Hikal Basem I. Awad Ahmad El-Morsy Mohammed Ghazal Ayman El-Baz Department of Information Technology Faculty of Computers and Information Mansoura University Egypt Bioengineering Department BioImaging Lab University of Louisville Louisville KY USA Department of Radiology Mansoura University Hospital Mansoura University Egypt Department of Neurosurgery Mansoura University Hospital Mansoura University Egypt Electrical Computer and Biomedical Engineering Department Abu Dhabi University Abu Dhabi UAE

Spinal tumors can rapidly lead to disability and even death. Cancerous vertebral tumors (VTs) represent 90% of spine cancer. In this paper, a novel computer-aided diagnostic (CAD) system with the ability to provide an early, accurate, and non-invasive diagnosis of VTs is suggested. The proposed VTs-CAD integrates different combinations of textural and morphological imaging markers extracted from T1 and T2-MRI. A total of 47 patients with biopsy proven VTs (23 benign & 24 malignant cases) underwent both types of MRI scans and provided their consent to participate in this study. VTs-CAD applied an adaptive distance-maps algorithm on the segmented tumor to obtain a new region of interest (ROI) of the tumor and its surrounding tissues to capture the infiltrative effect of cancerous tumors on surrounding healthy tissues. 46 textural markers were extracted from ROIs. A spherical harmonic model was used to extract morphological markers from the tumor itself. The VTs-CAD was evaluated using different combinations of these markers along with various machine learning algorithms. Optimal combination of the extracted markers was reported by the SVM classifier with a Gaussian kernel. It achieved 93.6% accuracy, 91.7% sensitivity, 95.7% specificity, and 93.6% F1-score. These findings suggest that the VTs-CAD can be effectively utilized to diagnose VTs using T1/T2-MRIs accurately and non-invasively at an early stage.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fiber-optic nonlinear wavelength converter for adaptive femtosecond biophotonics

arXiv

引用

arXiv 2023年

作者： Wang, Geng Shi, Jindou Iyer, Rishyashring R. Sorrells, Janet E. Tu, Haohua Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Bioengineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States

Broad and safe access to ultrafast laser technology has been hindered by the absence of optical fiber-delivered pulses with tunable central wavelength, pulse repetition rate, and pulse width in the picosecond-femtosecond regime. To address this long-standing obstacle, we developed a reliable accessory for femtosecond ytterbium fiber chirped pulse amplifiers, termed as fiber-optic nonlinear wavelength converter (FNWC), as an adaptive optical source for the emergent field of femtosecond biophotonics. This accessory embowers the fixed-wavelength laser to produce fiber delivered ~20 nJ pulses with central wavelength across 950-1150 nm, repetition rate across 1-10 MHz, and pulse width across 40-400 fs, with a long-term stability of >2000 hrs. As a prototypical label-free application in biology and medicine, we demonstrate the utility of FNWC in real-time intravital imaging synergistically integrated with modern machine learning and large-scale fluorescence lifetime imaging microscopy. © 2023, CC BY.

关键词： Nonlinear optics

来源：评论

学校读者我要写书评

暂无评论

Deep Learning-enabled Virtual Histological Staining of Biological Samples

arXiv

引用

arXiv 2022年

作者： Bai, Bijie Yang, Xilin Li, Yuzhu Zhang, Yijie Pillar, Nir Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los Angeles90095 United States University of California Los AngelesCA United States

Histological staining is the gold standard for tissue examination in clinical pathology and life-science research, which visualizes the tissue and cellular structures using chromatic dyes or fluorescence labels to aid the microscopic assessment of tissue. However, the current histological staining workflow requires tedious sample preparation steps, specialized laboratory infrastructure, and trained histotechnologists, making it expensive, time-consuming, and not accessible in resource-limited settings. Deep learning techniques created new opportunities to revolutionize staining methods by digitally generating histological stains using trained neural networks, providing rapid, cost-effective, and accurate alternatives to standard chemical staining methods. These techniques, broadly referred to as virtual staining, were extensively explored by multiple research groups and demonstrated to be successful in generating various types of histological stains from label-free microscopic images of unstained samples;similar approaches were also used for transforming images of an already stained tissue sample into another type of stain, performing virtual stain-to-stain transformations. In this Review, we provide a comprehensive overview of the recent research advances in deep learning-enabled virtual histological staining techniques. The basic concepts and the typical workflow of virtual staining are introduced, followed by a discussion of representative works and their technical innovations. We also share our perspectives on the future of this emerging field, aiming to inspire readers from diverse scientific fields to further expand the scope of deep learning-enabled virtual histological staining techniques and their applications. Copyright © 2022, The Authors. All rights reserved.

关键词： Tissue

来源：评论

学校读者我要写书评

暂无评论

Diffractive networks form cascadable all-optical NAND gates

Diffractive networks form cascadable all-optical NAND gates

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Yi Luo Deniz Mengu Aydogan Ozcan Electrical and Computer Engineering Department University of California Los Angeles CA USA Bioengineering Department University of California Los Angeles CA USA California NanoSystems Institute (CNSI) University of California Los Angeles CA USA

A cascadable, all-optical NAND gate based on diffractive networks is presented. The resulting NAND design was cascaded by projecting the output field of one diffractive gate onto another, all-optically performing logi... 详细信息

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

关键词： Logic gates Quantum cascade lasers Electo-optic effects

来源：评论

学校读者我要写书评

暂无评论

Joint Learning of Nonlinear Representation and Projection for Fast Constrained MRSI Reconstruction

TechRxiv

引用

TechRxiv 2023年

作者： Li, Yahang Ruhm, Loreen Wang, Zepeng Zhao, Ruiyang Anderson, Aaron Arnold, Paul Huesmann, Graham Henning, Anke Lam, Fan Department of Bioengineering Department of Electrical and Computer Engineering Beckman Institute for Advanced Science and Technology Cancer Center at Illinois University of Illinois Urbana-Champaign UrbanaIL61801 United States The Department of Bioengineering The Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign United States The Department of Electrical and Computer Engineering The Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign United States The Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign United States Carle Foundation Hospital United States The Advanced Imaging Research Center University of Texas Southwestern Medical Center Max Planck Institute for Biological Cybernetics United States

Learning and utilizing low-dimensional representations for high-dimensional imaging problems is an active research area. We present here a novel method for computationally efficient reconstruction from noisy MR spectroscopic imaging (MRSI) data, a unique high-dimensional molecular imaging modality. The proposed method features (a) a novel strategy that jointly learns a nonlinear low-dimensional representation of high-dimensional spectroscopic signals and a neural-network-based projector to recover the low-dimensional embeddings from noisy/limited data;(b) a joint formulation that integrates the forward encoding model, a regularizer exploiting the learned representation, and a complementary spatial constraint;and (c) a highly efficient algorithm enabled by the learned projector within an alternating direction method of multipliers (ADMM) framework, circumventing the computationally expensive network inversion subproblem. The proposed method has been evaluated using simulations and different types of in vivo MRSI data, demonstrating robust improved performance over state-of-the-art methods. Computational complexity and algorithm convergence analysis have been performed to offer further insights into the effectiveness of the proposed method. © 2023, CC BY.

关键词： Molecular imaging

来源：评论

学校读者我要写书评

暂无评论

Multiplexed all-optical permutation operations using a reconfigurable diffractive optical network

arXiv

引用

arXiv 2024年

作者： Ma, Guangdong Yang, Xilin Bai, Bijie Li, Jingxi Li, Yuhang Gan, Tianyi Shen, Che-Yung Zhang, Yijie Li, Yuzhu Jarrahi, Mona Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los Angeles90095 United States University of California Los AngelesCA90095 United States School of Physics Xi’an Jiaotong University Shaanxi Xi’an710049 China Department of Surgery University of California Los AngelesCA90095 United States

Large-scale and high-dimensional permutation operations are important for various applications in e.g., telecommunications and encryption. Here, we demonstrate the use of all-optical diffractive computing to execute a set of high-dimensional permutation operations between an input and output field-of-view through layer rotations in a diffractive optical network. In this reconfigurable multiplexed material designed by deep learning, every diffractive layer has four orientations: 0°, 90°, 180°, and 270°. Each unique combination of these rotatable layers represents a distinct rotation state of the diffractive design tailored for a specific permutation operation. Therefore, a K‑layer rotatable diffractive material is capable of all-optically performing up to 4K independent permutation operations. The original input information can be decrypted by applying the specific inverse permutation matrix to output patterns, while applying other inverse operations will lead to loss of information. We demonstrated the feasibility of this reconfigurable multiplexed diffractive design by approximating 256 randomly selected permutation matrices using K 4 rotatable diffractive layers. We also experimentally validated this reconfigurable diffractive network using terahertz radiation and 3D-printed diffractive layers, providing a decent match to our numerical results. The presented rotation-multiplexed diffractive processor design is particularly useful due to its mechanical reconfigurability, offering multifunctional representation through a single fabrication process. Copyright © 2024, The Authors. All rights reserved.

关键词： 3D printing

来源：评论

学校读者我要写书评

暂无评论

Observability Analysis and Reduced-Order Observer Design for a Super-Coiled Polymer-Driven Robotic Eye

Observability Analysis and Reduced-Order Observer Design for...

引用

IEEE Conference on Decision and Control

作者： Sunil Kumar Rajendran Qi Wei Ningshi Yao Feitian Zhang Department of Electrical and Computer Engineering George Mason University Fairfax VA USA Department of Bioengineering George Mason University Fairfax VA USA Department of Advanced Manufacturing and Robotics and the State Key Laboratory of Turbulence and Complex Systems College of Engineering Peking University Beijing China

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

With the aid of a robotic eye platform, several ocular motor disorders such as strabismus can be studied by ophthalmologists and biomedical researchers to better under-stand the biomechanisms of the human eye. Our previous work modeled a 2-DOF robotic eye driven by Super-Coiled Polymer (SCP) artificial muscles and presented a Deep Deterministic Policy Gradient (DDPG) learning-based controller. The control policy requires access to the full system states that include the orientation of the robotic eye and temperature changes of the SCPs. While the angular orientations of the robotic eye can be determined using embedded sensors or image-processing of the visual feed, it is quite laborious and expensive to measure the temperatures of the slender SCP muscles without affecting robot dynamics. To address this problem, this paper designs a linear reduced-order state observer based on the linearization of the nonlinear dynamics of the robotic eye. The linearized model is analytically shown to be fully observable along any trajectory within the operation range. To quantify the local observability of the dynamical system, local unobservability indices and local estimation condition numbers are determined along trajectories of the system states. The performance of the designed observer is tested through simulation in both open-loop and closed-loop foveation control of the robotic eye.

关键词： Temperature sensors Temperature measurement Visualization Observers Robot sensing systems Trajectory Nonlinear dynamical systems

来源：评论

学校读者我要写书评

暂无评论

Impact of Constant Bias Stress on Reliability of A-Igzo Thin-Film Transistors

SSRN

引用

SSRN 2023年

作者： Gutierrez-Heredia, Gerardo Rodriguez-Lopez, Ovidio Rocha-Flores, Pedro Emanuel Voit, Walter E. Departamento de Fisica de la Universidad de Sonora Hermosillo Sonora 83000 Mexico Department of Electrical and Computer Engineering The University of Texas at Dallas RichardsonTX75080 United States Department of Bioengineering The University of Texas at Dallas RichardsonTX75080 United States Department of Materials Science and Engineering The University of Texas at Dallas RichardsonTX75080 United States

In this study, the electrical behavior of amorphous-indium-gallium-zinc-oxide (a-IGZO) thin-film transistors (TFTs) was analyzed under different applied voltages. These TFTs were fabricated on a polymer substrate using full photolithographic processes. The electrical performance was monitored under constant bias stress for 10,000 seconds and the analysis revealed relatively high field-effect mobility (>10 cm2/Vs) for the a-IGZO TFTs when higher voltages (>5 V) were applied. Additionally, the experimental results demonstrated shifts in the threshold voltage, field-effect mobility, and saturation drain current, which exhibited a strong dependence on the applied voltage. After 10,000 seconds, the threshold voltage shift varied by 0.5 V for the lowest applied voltage and exceeded 5 V for the higher values. Furthermore, the electrical analysis indicated a significant reduction in the lifetime of a-IGZO TFTs when the applied voltage exceeded 15 V. Understanding these changes induced by the constant electric field at the gate contact can provide insights into the reliability and lifetime prediction of novel devices intended for wearable, flexible, and biomedical applications. © 2023, The Authors. All rights reserved.

关键词： Thin film transistors

来源：评论

学校读者我要写书评

暂无评论

High-order mesh generation based on optimal affine combinations of nodal positions 12th

High-order mesh generation based on optimal affine combinati...

引用

12th International Conference on Spectral and High-Order Methods, ICOSAHOM 2018

作者： Stees, Mike Shontz, Suzanne M. Department of Electrical Engineering and Computer Science Information and Telecommunication Technology Center University of Kansas LawrenceKS United States Department of Electrical Engineering and Computer Science Bioengineering Program Information and Telecommunication Technology Center University of Kansas LawrenceKS United States

ISBN: (纸本)9783030396466

In this paper, we propose a new optimization-based method for high-order mesh generation. Our proposed method is based on affine combinations of nodal positions. For each interior node in the high-order straight-sided mesh, a set of weights that relates the node to its neighbors is calculated. After the high-order boundary nodes are curved to conform with the true boundary, the interior nodes are moved based on the generated weights and the new boundary positions. We present results from applying our method to several aerospace engineering geometries in 2D and 3D which demonstrate the capabilities of our method. © 2020, The Author(s).

关键词： Mesh generation

来源：评论

学校读者我要写书评

暂无评论

Deep learning-based transformation of H&E stained tissue into special stains

Deep learning-based transformation of H&E stained tissue int...

引用

CLEO: Applications and Technology, A and T 2022

作者： de Haan, Kevin Zhang, Yijie Zuckerman, Jonathan E. Liu, Tairan Rivenson, Yair Wallace, W. Dean Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Department of Pathology and Laboratory Medicine David Geffen School of Medicine University of California Los AngelesCA90095 United States Department of Pathology and Laboratory Medicine Keck School of Medicine of USC Los AngelesCA90033 United States California NanoSystems Institute University of California Los AngelesCA90095 United States Bioengineering Department University of California Los AngelesCA90095 United States

We present a deep learning-based technique to computationally transform H&E-stained tissue sections into different special stains. We also demonstrate that this stain-to-stain transformation framework improves dia... 详细信息

ISBN: (纸本)9781957171050

关键词： Tissue

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：