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Automatic identification of metastasis in histopathological images using deep learning 22

Automatic identification of metastasis in histopathological ...

引用

22nd IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020

作者： Luz, Daniel S. Costa, Renesio J.O. Rabelo, Ricardo De Andrade L. Rodrigues, Joel J. P. C. Araujo, Flavio H.D. Department of Electrical Engineering Federal University of Piauí Teresina - PI Brazil Department of Informatics Federal Institute of Piauí Picos - PI Brazil Departament of Information Systems Federal University of Piauí Picos - PI Brazil Department of Computer Science Federal University of Piauí Teresina - PI Brazil Instituto de Telecomunicações Portugal

ISBN: (纸本)9781728162676

Metastatic tumor is one that spreads from its place of origin to other parts of the body. A tumor formed by metastatic cancer cells is called a metastatic tumor or metastasis. The early identification of these tumors is essential to increase the chances of success in treating the disease. However, for this identification it is necessary to analyze extensive tissues of the affected organs, which is a tiring and error-prone task. In this paper, it is present three deep learning strategies for automatic identification of metastasis in histopathological images. For the development and evaluation of these strategies it was used the PCam database, which is composed of 327, 680 color images extracted from histopathological exams of sections of lymph nodes. The obtained results using the fine tuning technique are promising, showing that deep learning models can be used for metastasis identification. © 2021 IEEE.

关键词： image processing

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Restoration of images blurred by circular motion

Restoration of images blurred by circular motion

引用

International symposium on image and Signal processing and Analysis

作者： S. Ribaric M. Milani Z. Kalafatic Department of Electronics Microelectronics Computer and Intelligent Systems Zagreb Croatia

The problem of restoring images blurred by circular motion is considered. In order to simplify the process of deblurring, the original image in the (x,y) plane is transformed into polar plane (p,/spl phi/) . This simp... 详细信息

ISBN: (纸本)9539676924

关键词： image restoration Cameras image sampling Lattices Degradation Angular velocity image sensors Machine vision Charge coupled devices Optical filters

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Intrinsic signal detection of an evoked response with a low-cost scanning laser ophthalmoscope

Intrinsic signal detection of an evoked response with a low-...

引用

Annual IEEE symposium on computer-Based Medical Systems

作者： P. Soliz E.S. Barriga J. Schallek D. Ts'o H. Davis Department of Ophthalmology and Visual Sciences University of Iowa USA Department of Engineering and Computer Engineering University of New Mexico Albuquerque NM USA Upstate Medical University of New York Syracuse NY USA VisionQuest Biomedical LLC. Albuquerque NM USA

A number of optical modalities exist for the imaging of retina structures, but no clinical devices exist for optically-based functional imaging of the retina. This paper reports on a device and on the image and signal processing techniques that were developed to perform functional image in mammalian retinas. These investigators first introduced a flood illuminated approach for functional imaging in 2002. That device required extensive measures, including an expensive thermal-electric cooled CCD camera, to minimize the noise in order to detect a signal with a magnitude of about 1.0 percent signal above the noise floor. The system designed and developed for this project uses low-cost optical and electronic components and low-cost lasers for illumination. The penalty paid is a device where noise reduction techniques must be employed to overcome the low signal-to-noise (SNR) in the resulting images. This paper reports on the successful application of a functional scanning laser ophthalmoscope for imaging the cat retina. Temporal and spatial averaging was used to extract a signal that is nominally three to five percent above the average signal.

关键词： Signal detection Optical devices Optical signal processing Optical imaging Retina Optical noise Laser noise Floods Noise measurement Charge coupled devices

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Transparent Slide Detection and Gripper Design for Slide Transport by Robotic Arm

Transparent Slide Detection and Gripper Design for Slide Tra...

引用

International symposium on Computational Intelligence and Informatics

作者： Marianna Dimitrova Kucarov Mátyás Takács Béla Molnár Miklos Kozlovszky Doctoral School of Applied Informatics and Applied Mathematics BioTech Óbuda University 3DHistech Ltd. Budapest Hungary 3DHistech Ltd. Óbuda University University Research and Innovation Center (EKIK) Budapest Hungary 3DHistech Ltd. Budapest Hungary John von Neumann Faculty of Informatics Óbuda University Budapest Hungary

ISBN: (纸本)9798350398830

Transparent slide detection, pick and place automation are obtained in order to boost speed, accuracy and smooth workflow between slide coverslipping and digital scanning operation in digital pathology. Fully automatic, precise, robust solution has been developed by robotic arm using computer vision and image processing techniques. Magazine (slide holder) and gripper design, camera selection and mapping to robot base coordinate system are all guided. Python based software algorithms for slide detection and 3D position determination applied in dynamically changeable environment are also explained step by step. Complete automatic process control method is implemented and tested for different types of slide.

关键词： Pathology computer vision Three-dimensional displays Robot kinematics image processing Process control Reliability theory

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Low-Dose CT Dental image Denoising by Morphological Operators and 3D Filtering

Low-Dose CT Dental Image Denoising by Morphological Operator...

引用

brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Romulo Marconato Stringhini Daniel Welfer Marcos Cordeiro d'Ornellas Daniel Fernando Tello Gamarra Federal University of Santa Maria Santa Maria Brazil Department of Applied Computing Federal University of Santa Maria Santa Maria Brazil

The impact in reducing the radiation dose in computed tomography (CT) exams is directly related to the quality of the images obtained in these exams. Such images are degraded by undesirable artifacts, known as noise. In order to improve the quality of these images and provide an accurate medical diagnosis, it is necessary to apply noise reduction techniques. In this study, a method based on structural segmentation and filtering through morphological operators along with a BM3D filtering is proposed to reduce noise and preserve details in low-dose CT dental images. Experimental results of the proposed method were compared with several existing methods and validated using the PSNR, SSIM, MSE and EPI metrics. Our method demonstrated superior performance among the evaluated filters. In comparison to the filter that obtained the best results, our method had a gain of 12.46% on PSNR, 11.11% on SSIM, 14.5% on MSE and 9.63% on EPI metrics.

关键词： Noise measurement Three-dimensional displays Computed tomography Noise reduction image segmentation image edge detection image reconstruction

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Automated ovarian follicle segmentation using region growing

Automated ovarian follicle segmentation using region growing

引用

International symposium on image and Signal processing and Analysis

作者： B. Potocnik D. Zazula Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia

ISBN: (纸本)9539676924

An improved algorithm for ovarian follicle detection in ultrasound images is presented. This fully automated recognition algorithm is composed of three successive steps. First, the initial homogeneous regions are determined. Then, these initial regions are grown. Growing is controlled by the average grey-level and by a newly introduced weighted gradient of the image. In the last step, the regions that are probably follicles are extracted. The algorithm has been tested on 50 ovarian ultrasound images. The recognition rate of follicles was around 88%.

关键词： image segmentation Ultrasonic imaging Signal processing algorithms image edge detection computer science Automatic control Testing Monitoring Humans Position measurement

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CV-C3D: Action Recognition on Compressed Videos with Convolutional 3D Networks

CV-C3D: Action Recognition on Compressed Videos with Convolu...

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Samuel Felipe dos Santos Nicu Sebe Jurandy Almeida Instituto de Ciência e Tecnologia Universidade Federal de São Paulo - UNIFESP São José dos Campos SP Brazil Dept. of Information Engineering and Computer Science University of Trento - UniTn Trento TN Italy

Action recognition in videos has gained substantial attention from the computer vision community due to the wide range of possible applications. Recent works have addressed this problem with deep learning methods. The main limitation of existing approaches is their difficulty to learn temporal dynamics due to the high computational load demanded for processing huge amounts of data required to train a model. To overcome this problem, we propose a Compressed Video Convolutional 3D network (CV-C3D). It exploits information from the compressed representation of a video in order to avoid the high computational cost for fully decoding the video stream. The speed up of the computation enables our network to use 3D convolutions for capturing the temporal context efficiently. Our network has the lowest computational complexity among all the compared approaches. Results of our approach in the task of action recognition on two public benchmarks, UCF-101 and HMDB-51, were comparable to the baselines, with the advantage of running at faster inference speed.

关键词： Videos Three-dimensional displays Machine learning Computational modeling image coding Decoding Feature extraction

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Change detection in aerial image sequences

Change detection in aerial image sequences

引用

International symposium on image and Signal processing and Analysis

作者： A.L. Reno D.M. Booth DERA Malvern UK

ISBN: (纸本)9539676924

A new method is described for detecting changes in aerial image sequences. An interest operator, sensitive to man-made features, provides cue points for active regions. Several steps are taken to compensate for misalignment, and for differences in illumination by a series of morphological operations, and by using two statistics for measuring the likelihood of a change in any particular region. Candidate regions are accepted or rejected by testing the significance of the change, compared to the estimated background response.

关键词： image sequences Detectors image edge detection Lighting computer vision Object detection Morphological operations Statistical analysis Particle measurements Testing

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Intelligent recognition of insulator video stream based on embedded edge computing

Intelligent recognition of insulator video stream based on e...

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22nd International symposium on High Voltage Engineering (ISH 2021)

作者： Y Sun Y. Zhang S. Chen Y. Chen K. Sun State Grid Shandong Electric Power Research Institute Jinan People's Republic of China Department of Electrical Engine ering North China Electric Power University Beijing People's Republic of China

Traditional intelligent recognition algorithm models of insulators are large and mostly completed by back-end servers, with large data transmission volume, high power consumption and poor real-time performance at the front and rear ends. In this paper, a miniature SSD convolutional neural network model is designed to enable it to be deployed in embedded edge computing devices and to recognize video images of insulators. Firstly, the low-latitude Core convolution group subnetwork is used to replace the high-latitude VGG network to extract the shallow features of the insulator, and then the auxiliary feature extraction subnetwork is used to predict the target, so as to reduce the number of model parameters. The model weight files generated by the training were transplanted to the edge computing platform of Jetson nano equipped with vision sensor. OpenCV was used to extract frames from the video images captured by vision sensor every 1 ms and real-time recognition performance was compared under different video resolutions. Experimental results show that the scheme reduces data transmission and realizes low delay recognition. The average recognition frame rate of insulator video images is 16.8 FPS and 19.7 FPS respectively at 1280*720 and 640*480 resolutions. The recognition process is relatively smooth and the recognition accuracy can reach 91.53%. The energy consumption of the whole identification process is less than 5W, which is an order of magnitude lower than that of traditional servers.

关键词： computer vision distributed processing feature extraction image recognition image resolution image sensors insulators power engineering computing power grids video signal processing video streaming convolutional neural nets

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Optimizing Super Resolution for Face Recognition

Optimizing Super Resolution for Face Recognition

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brazilian symposium on computer graphics and image processing (SIBGRAPI)

作者： Antonio Augusto Abello R. Hirata Instituto de Matemática e Estatística Universidade de São Paulo São Paulo Brazil

Face Super-Resolution is a subset of Super Resolution (SR) that aims to retrieve a high-resolution (HR) image of a face from a lower resolution input. Recently, Deep Learning (DL) methods have improved drastically the quality of SR generated images. However, these qualitative improvements are not always followed by quantitative improvements in the traditional metrics of the area, namely PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural Similarity Index). In some cases, models that perform better in opinion scores and qualitative evaluation have worse performance in these metrics, indicating they are not sufficiently informative. To address this issue we propose a task-based evaluation procedure based on the comparative performance of face recognition algorithms on HR and SR images to evaluate how well the models retrieve high-frequency and identity defining information. Furthermore, as our face recognition model is differentiable, this leads to a novel loss function that can be optimized to improve performance in these tasks. We successfully apply our evaluation method to validate this training method, yielding promising results.

关键词： image resolution Face Task analysis Face recognition Training Measurement Signal resolution

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