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Data Augmentation Based on Generative Adversarial Networks to Improve Stage Classification of Chronic Kidney Disease

Yun-Te Liao, Chien-Hung Lee, Kuo-Su Chen, Chie-Pein Chen, Tun-Wen Pai
2021 Applied Sciences  
The prevalence of chronic kidney disease (CKD) is estimated to be 13.4% worldwide and 15% in the United States. CKD has been recognized as a leading public health problem worldwide.  ...  Ultrasonography is usually the first and the most commonly used imaging diagnostic tool for patients at risk of CKD.  ...  In addition to blood and urine tests, ultrasound is the most commonly used Publisher’s Note: MDPI stays neutral imaging diagnostic tool by nephrologists for the early detection of chronic kidney disease  ... 
doi:10.3390/app12010352 fatcat:fhalq4xwfjdzloolyz5ttc4rgy

2018 Index IEEE Transactions on Biomedical Engineering Vol. 65

2018 IEEE Transactions on Biomedical Engineering  
., and Oku, Y., Using Machine Learning and a Combination of Respiratory Flow, Laryngeal Motion, and Swallowing Sounds to Classify Safe and Unsafe Swallowing; TBME Nov.  ...  ., and Zheng, H., A Delayed-Excitation Data Acquisition Method for High-Frequency Ultrasound Imaging; TBME Jan. 2018 15-20 Qu, X., see Lu, H., TBME April 2018 809-820 Quigley, K.S., see Kleckner, I.R.,  ...  ., +, TBME Feb. 2018 241-253 Fully Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images With Diabetic Macular Edema Using Neutrosophic Sets and Graph Algorithms.  ... 
doi:10.1109/tbme.2018.2890522 fatcat:xoblnegncrgmbmiu3r3hxntrxy

Review of Feature Selection, Dimensionality Reduction and Classification for Chronic Disease Diagnosis

Afnan M. Alhassan, Wan Mohd Nazmee Wan Zainon
2021 IEEE Access  
and graph embedding via L1 and L2 norm minimization.  ...  Mittal, [37] developed hybrid feature selection based feature fusion system for generating optimal feature subsets to classify liver ultrasound images into 4 classes; cirrhosis, normal, hepatocellular  ... 
doi:10.1109/access.2021.3088613 fatcat:xrsf434oqbd45gqtpi4x33yl7i

Contents

AHJ Hagendorff, OH Gilja
2016 Ultraschall in der Medizin  
(33 female, 25 male; mean age 45.5 ± 17.4) -46 with chronic kidney disease (CKD) and 12 healthy volunteers.  ...  Results: 15 HCCs and one CRLM were treated using manual image fusion and 13 HCCs and one CRLM were treated using automatic image fusion.  ...  Purpose: Today a combination of ultrasonography and elastography is becoming more and more applicable, and both techniques can help to improve an early detection of testicular cancer.  ... 
doi:10.1055/s-0036-1587985 fatcat:opj5ncdttja4fjzshe34nyath4

Cytology Image Analysis Techniques Towards Automation: Systematically Revisited [article]

Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakrabarty, Mita Nasipuri, Mrinal Kanti Naskar
2020 arXiv   pre-print
In the present survey, we focus on such image processing techniques which put steps forward towards the automation of cytology.  ...  We take a short tour to 17 types of cytology and explore various segmentation and/or classification techniques which evolved during last three decades boosting the concept of automation in cytology.  ...  Authors are also thankful to the members of "Theism Medical Diagnostics Centre", Kolkata, India and "Saroj Gupta Cancer Centre & Research Institute", Thakurpukur, Kolkata, India.  ... 
arXiv:2003.07529v1 fatcat:eossjujftzflbfnfhbsw55tlta

DeepHealth: Review and challenges of artificial intelligence in health informatics [article]

Gloria Hyunjung Kwak, Pan Hui
2020 arXiv   pre-print
Artificial intelligence has provided us with an exploration of a whole new research era.  ...  infectious disease outbreaks with high accuracy.  ...  It can be divided into object detection for disease detection with location, image segmentation for disease detection with labeling pixels, such as pixel, edge, and region-based image segmentation, class  ... 
arXiv:1909.00384v2 fatcat:sy7pm2c2uvdd3pal2russn4xri

2021 AIUM Award Winners

2021 Journal of ultrasound in medicine  
and chronic disease [2].  ...  40(suppl):S1-S193, 2021 stratification, considering chronic kidney disease (CKD) as the surrogate endpoint of cardiovascular disease.  ...  live demonstration of ultrasound techniques.  ... 
doi:10.1002/jum.15752 fatcat:v4nx5fvjwndrzfppaiaylgon64

ECR 2012 Book of Abstracts - A - Postergraduate Educational Programme

2012 Insights into Imaging  
The use of imaging probes based on different tracers with advanced high-resolution equipment allows viewing complex molecular and cellular structures.  ...  and treatment monitoring of biological processes and disease-related cell.  ...  " techniques allowing real-time fusion of 3D rendered images with patient's physical anatomy.  ... 
doi:10.1007/s13244-012-0153-4 pmid:22696127 pmcid:PMC3481066 fatcat:te6ctbtakzh5njsw43geghw3ta

A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises [article]

S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2020 arXiv   pre-print
We conclude with a discussion and presentation of promising future directions.  ...  Since its renaissance, deep learning has been widely used in various medical imaging tasks and has achieved remarkable success in many medical imaging applications, thereby propelling us into the so-called  ...  The Inception V3 convolutional neural network could detect small bowel obstruction on abdominal radiographs [194] . Kidney function can be predicted using deep learning of ultrasound images [195] .  ... 
arXiv:2008.09104v1 fatcat:z2gic7or4vgnnfcf4joimjha7i

International Society for Therapeutic Ultrasound Conference 2016

Brian Fowlkes, Pejman Ghanouni, Narendra Sanghvi, Constantin Coussios, Paul C. Lyon, Michael Gray, Christophoros Mannaris, Marie de Saint Victor, Eleanor Stride, Robin Cleveland, Robert Carlisle, Feng Wu (+723 others)
2017 Journal of Therapeutic Ultrasound  
O21 Tests of thermal ablation with a 230 kHz transcranial MRI-guided focused ultrasound system in a large animal model Nathan McDannold 1 , Jonathan Sutton 1 , Natalia Vykhodtseva 1 , Margaret Livingstone  ...  Acknowledgements This work was supported by the Focused Ultrasound Foundation and NIBIB T32EB014841.  ...  Presentation will demonstrate localization of prostate with ultrasound imaging, treatment planning with 3D volumetric rendering of the prostate with ultrasound and MRI fusion techniques for focal treatment  ... 
doi:10.1186/s40349-016-0079-2 fatcat:wjrvxyhd5bappjipymenn5swwq

Deep learning in medical imaging and radiation therapy

Berkman Sahiner, Aria Pezeshk, Lubomir M. Hadjiiski, Xiaosong Wang, Karen Drukker, Kenny H. Cha, Ronald M. Summers, Maryellen L. Giger
2018 Medical Physics (Lancaster)  
We introduce the general principles of DL and convolutional neural networks, survey five major areas of application of DL in medical imaging and radiation therapy, identify common themes, discuss methods  ...  The goals of this review paper on deep learning (DL) in medical imaging and radiation therapy are to (a) summarize what has been achieved to date; (b) identify common and unique challenges, and strategies  ...  and staging of chronic obstructive pulmonary disease and acute respiratory disease. 211 While the use of DL in the evaluation of thoracic CTs is promising, more development is needed to reach clinical  ... 
doi:10.1002/mp.13264 pmid:30367497 fatcat:bottst5mvrbkfedbuocbrstcnm

Learning Neural Textual Representations for Citation Recommendation

Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting Ghost Target Detection in 3D Radar  ...  DAY 1 -Jan 12, 2021 Huang, Kuan; zhang, yingtao; Cheng, Heng-Da; Xing, Ping; Zhang, Boyu 997 Semantic Segmentation of Breast Ultrasound Image with Pyramid Fuzzy Uncertainty Reduction and Direction  ... 
doi:10.1109/icpr48806.2021.9412725 fatcat:3vge2tpd2zf7jcv5btcixnaikm

Implementation and Use of Disease Diagnosis Systems for Electronic Medical Records Based on Machine Learning: A Complete Review

Jahanzaib Latif, Chuangbai Xiao, Shanshan Tu, Sadaqat Ur Rehman, Azhar Imran, Anas Bilal
2020 IEEE Access  
(chronic disease) using RNN  ...  This information has been used extensively for automatic detection and classification of diseases.  ... 
doi:10.1109/access.2020.3016782 fatcat:j76bwlyrj5dv5mhhsvs4apynje

Deep Neural Architectures for Medical Image Semantic Segmentation: Review

Muhammad Zubair Khan, Mohan Kumar Gajendran, Yugyung Lee, Muazzam A. Khan
2021 IEEE Access  
TABLE 2 . 2 Comparison of deep neural techniques evaluated over retinal image datasets for detecting chronic eye disease.  ...  ] , view detection [27] , landmark detection [28] , and automated report generation [29] .  ... 
doi:10.1109/access.2021.3086530 fatcat:hacpqwdxybh63j5ygebqszm7qq

5th International Symposium on Focused Ultrasound

Menashe Zaaroor, Alon Sinai, Dorit Goldsher, Ayelet Eran, Maria Nassar, Ilana Schlesinger, Jonathon Parker, Vinod Ravikumar, Pejman Ghanouni, Sherman Stein, Casey Halpern, Vibhor Krishna (+1008 others)
2016 Journal of Therapeutic Ultrasound  
A5 Focused ultrasound facilitated gene delivery for neuro-restoration in Parkinson's disease mice  ...  Contrast T1 and T2* images allowed semi-real time confirmation of BBB disruption and safety, respectively.  ...  The preserved kidneys with the connected connectors are embedded between two layers of agar phantom.  ... 
doi:10.1186/s40349-016-0076-5 fatcat:4vm7i5mt6vheni3hflxd3pwl2i
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