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Automatic Segmentation Algorithm of Ultrasound Heart Image Based on convolutional neural network and Image Saliency

Hui Liu, Wen Chu, Hua Wang
2020 IEEE Access  
The emergence of 4D heart images makes the data volume of the images multiply. It is more urgent to require an effective and fast segmentation algorithm.  ...  In this paper, considering the PET image as grayscale image with low resolution, an improved Itti model and an improved GrabCut image segmentation algorithm are proposed to solve the problem of the original  ...  TABLE 3 . 3 PSNR, SSIM, AND RMSE of signal-channel and multi-channel sparse representation methods.  ... 
doi:10.1109/access.2020.2989819 fatcat:tla7to3tozbnbnia6muvijguv4

2020 Index IEEE Signal Processing Letters Vol. 27

2020 IEEE Signal Processing Letters  
Zhang, J., +, LSP 2020 276-280 Medical image processing A 4D Basis and Sampling Scheme for the Tensor Encoded Multi-Dimensional Diffusion MRI Signal.  ...  MV, A.R., +, LSP 2020 1170-1174 Channel estimation A Low-Complexity Joint User Activity, Channel and Data Estimation for Grant-Free Massive MIMO Systems.  ... 
doi:10.1109/lsp.2021.3055468 fatcat:wfdtkv6fmngihjdqultujzv4by

Ultrasound Image Segmentation Method for Thyroid Nodules Using ASPP Fusion Features

Yating Wu, Xueliang Shen, Feng Bu, Jin Tian
2020 IEEE Access  
Aiming at these problems, this paper proposes an ultrasound image segmentation model algorithm for thyroid nodules based on ASPP fusion features.  ...  The use of artificial intelligence to process medical images has increasingly become the main research focus. Ultrasound image segmentation is one of the research hotspots [4] .  ... 
doi:10.1109/access.2020.3022249 fatcat:djhxkvfnsjfvxndfutwludpxca

2011 Index IEEE Transactions on Information Technology in Biomedicine Vol. 15

2011 IEEE Transactions on Information Technology in Biomedicine  
., +, TITB Sept. 2011 737-746 Encoding A Channel Differential EZW Coding Scheme for EEG Data Compression. Dehkordi, V.  ...  ., +, TITB Jan. 2011 66-73 Data integration Multi-platform Data Integration in Microarray Analysis.  ... 
doi:10.1109/titb.2011.2177396 fatcat:kqz7azo7tfcwxjw3jxvbvb3qom

2020 Index IEEE Transactions on Biomedical Circuits and Systems Vol. 14

2020 IEEE Transactions on Biomedical Circuits and Systems  
., +, TBCAS Aug. 2020 658-670 Medical computing Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm.  ...  ., +, TBCAS Aug. 2020 867-878 Low-Complexity System and Algorithm for an Emergency Ventilator Sensor and Alarm.  ...  G Gas sensors Sensor-Array Optimization Based on Time-Series Data Analytics for Sanitation-Related Malodor Detection.  ... 
doi:10.1109/tbcas.2021.3059009 fatcat:rthgi6nrxzeaxkkwqwx753nrze

Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, Future [article]

Teofilo E. Zosa
2021 arXiv   pre-print
Core to medical image analysis is the task of semantic segmentation which enables various clinical workflows.  ...  This paper will briefly overview some of the state-of-the-art (SoTA) neural network-based segmentation algorithms with a particular emphasis on the most recent architectures, comparing and contrasting  ...  U-Net: "U-net architecture (example for 32x32 pixels in the lowest resolution). Each blue box corresponds to a multi-channel feature map. The number of channels is denoted on top of the box.  ... 
arXiv:2103.14969v2 fatcat:ikxjpikwrneb3ijt6acerkdobu

Diagnostically Resilient Encoding, Wireless Transmission, and Quality Assessment of Medical Video

A.S. Panayides, C.S. Pattichis, A. Pitsillides, M.S. Pattichis
2011 Zenodo  
A new framework for effective communication and evaluation of wireless medical video over error-prone channels is proposed.  ...  A unified framework is developed that: (i) provides a diagnostically relevant medical video encoding based on clinical criteria, (ii) enables diagnostically resilient medical video encoding for reliable  ...  Low-bitrate echography ultrasound medical video transmission over 3G channels is investigated and functional bounds are provided.  ... 
doi:10.5281/zenodo.2592409 fatcat:bq5moo4ctjasjomrnnvw5wcqzu

An Effective Progressive Image Transmission using Superpixel based Saliency Detection and Modified SPIHT Compression Algorithm

2019 International Journal of Engineering and Advanced Technology  
At first, the superpixel based saliency detection method was used for segmenting the foreground region from the background region, because it gives more saliency information of an image with the benefit  ...  Additionally, optimized neural network and modified Set Partitioned in Hierarchical Tree (SPIHT) algorithm were applied in the background image that delivers good rate distortion properties in the noise  ...  Shashikiran.B.R, Consultant radiologist, Sri Sai ultrasound centre, Hassan for their comments and suggestions in order to make this research work better.  ... 
doi:10.35940/ijeat.b3184.129219 fatcat:6mbox2axr5cyxbfh4r5r7i5jle

IEEE Access Special Section Editorial: Human-Centered Smart Systems and Technologies

Wenbing Zhao, Yonghong Peng, Kun Hua, Peng Shi, Hongqiao Wang
2019 IEEE Access  
In the article, ''An Imputation Method for Missing Data Based on an Extreme Learning Machine Auto-Encoder,'' Lu and Mei presented a new method for replacing missing data with substituted values in datasets  ...  In the article, ''A New Progressively Refined Wyner-Ziv Video Coding for Low-Power Human-Centered Telehealth, '' Yang, et al., presented an efficient video encoding scheme for batterypowered wearable  ... 
doi:10.1109/access.2019.2961101 fatcat:ku3ukcrlqrb6jdslsao7exvbju

Multimodal Magnetic Resonance Image Brain Tumor Segmentation Based on ACU-Net Network

Ling Tan, Wenjie Ma, Jingming Xia, Sajib Sarker
2021 IEEE Access  
Medical image segmentation has the significance of research in digital image processing.  ...  It can locate and identify the organ cells, which is essential for clinical analysis, diagnosis, and treatment.  ...  As a result, the algorithm in this paper can better identify low-resolution and low-contrast areas in the image and has strong adaptability to image noise or other interference factors.  ... 
doi:10.1109/access.2021.3052514 fatcat:hdufeupb6nhd3e6qrloyreknqa

Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts

Xiaohu You, Cheng-Xiang Wang, Jie Huang, Xiqi Gao, Zaichen Zhang, Mao Wang, Yongming Huang, Chuan Zhang, Yanxiang Jiang, Jiaheng Wang, Min Zhu, Bin Sheng (+38 others)
2020 Science China Information Sciences  
(AI) and big data technologies.  ...  coding schemes, multi-antenna technologies, network slicing, cell-free architecture, and cloud/fog/edge computing.  ...  the data traffic required for implementing distributed learning algorithms.  ... 
doi:10.1007/s11432-020-2955-6 fatcat:bf4wxtlfsbg7noe5nshf3pz3qq

The M2DC Project: Modular Microserver DataCentre

Mariano Cecowski, Giovanni Agosta, Ariel Oleksiak, Michal Kierzynka, Micha vor dem Berge, Wolfgang Christmann, Stefan Krupop, Mario Porrmann, Jens Hagemeyer, Rene Griessl, Meysam Peykanu, Lennart Tigges (+13 others)
2016 2016 Euromicro Conference on Digital System Design (DSD)  
This paper provides an overview of the different topics FPGAs have been used for in the last 15 years of research and why they have been chosen over other processing units like e.g. CPUs.  ...  sample rate conversion 2000 [23] Image processing Parallel Huffman decoder for JPEG and MPEG encoding 2000 [24] Simulation Gaussian noise generator using Box-Muller method for communication channel  ...  algorithm FIR filter 2013 [688] Communication Adaptive fractionally spaced blind equalizer for 2x2 Multi-Input Multi-Output (MIMO) 16-QAM channel 2013 [689] Networks Transmission Control Protocol  ... 
doi:10.1109/dsd.2016.76 dblp:conf/dsd/CecowskiAOKBCKP16 fatcat:bu4nbkqaejebjafrotibui6mkq

Implementation of Fog computing for reliable E-health applications

Razvan Craciunescu, Albena Mihovska, Mihail Mihaylov, Sofoklis Kyriazakos, Ramjee Prasad, Simona Halunga
2015 2015 49th Asilomar Conference on Signals, Systems and Computers  
Specifically, we introduce a concept for sparse joint activity, channel and data detection in the context of the Coded ALOHA (FDMA) protocol.  ...  Finally, we will provide 'structured' CS algorithms for the joint estimation scheme and evaluate its performance.  ...  We propose an algorithm that achieves alignment in the correlated interference channel.  ... 
doi:10.1109/acssc.2015.7421170 dblp:conf/acssc/CraciunescuMMKP15 fatcat:qm6mki5z6bcvrfimkmqjyrxaxm

2021 Index IEEE Sensors Letters Vol. 5

2021 IEEE Sensors Letters  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Elsobky, M., +, LSENS Feb. 2021 5500104 Ultrasound and a Low-Power Peak Detector.  ...  ., +, LSENS Feb. 2021 7000304 Expectation-maximization algorithms Online Adaptive Kalman Filter for Target Tracking With Unknown Noise Statistics.  ... 
doi:10.1109/lsens.2021.3137726 fatcat:nrqslmk43bhxlpb7bcy6vzfcfe

MR Imaging in the 21st Century: Technical Innovation over the First Two Decades

Hiroyuki Kabasawa
2021 Magnetic Resonance in Medical Sciences  
New technologies outside of the MRI field, for example, computer science, data processing, and semiconductors, have been immediately incorporated into MRI development, which resulted in innovative applications  ...  In MRI technical development, the developments in each MRI system component, including data acquisition, image reconstruction, and hardware systems, have impacted the others.  ...  For example, diffusion tensor acquisition may have high-dimensional data, including 100 slices, 32 channel coils, and 100 diffusion encodings, which results in 320000 slices. 4D flow data may include 100  ... 
doi:10.2463/mrms.rev.2021-0011 pmid:33867419 fatcat:fxkxeeipazf37dvhzeerowdb4q
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