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Image Based Artificial Intelligence in Wound Assessment: A Systematic Review [article]

D. M. Anisuzzaman
2020 arXiv   pre-print
convey the current review to its fulfillment.  ...  health related quality of life to the patient population.  ...  [74] for wound-bed tissue recognition by using three machine learning approaches.  ... 
arXiv:2009.07141v1 fatcat:mbe3fopi75cwvao5opyhgquqgq

A Review of Intelligent Sensor-Based Systems for Pressure Ulcer Prevention

Arlindo Silva, José Metrôlho, Fernando Ribeiro, Filipe Fidalgo, Osvaldo Santos, Rogério Dionisio
2021 Computers  
Due to the relevance of this problem, many hardware and software approaches have been proposed to ameliorate some aspects of pressure ulcer prevention and monitoring.  ...  healthcare professionals with knowledge that improves the decision-making process when dealing with a patient at risk of developing pressure ulcers.  ...  ) model was applied An artificial neural network pressure ulcer prevention.  ... 
doi:10.3390/computers11010006 fatcat:lh4b2v3y45azjcq3rs346vynem

The Enlightening Role of Explainable Artificial Intelligence in Chronic Wound Classification

Salih Sarp, Murat Kuzlu, Emmanuel Wilson, Umit Cali, Ozgur Guler
2021 Electronics  
This hybrid approach is shown to aid with the interpretation and understanding of AI decision-making processes.  ...  Explainable Artificial Intelligence (XAI) aims to solve black-box and hard-to-debug approaches through the use of various techniques and tools.  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their contribution to this paper. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics10121406 fatcat:5i4xxhakivbkrcyanfkgyqjp2a

Comparison of Deep Transfer Learning Techniques in Human Skin Burns Discrimination

Aliyu Abubakar, Mohammed Ajuji, Ibrahim Usman Yahya
2020 Applied System Innovation  
where dense and classification layers were modified and trained with features extracted by base layers and in the second approach support vector machine (SVM) was used to replace top-layers of the pre-trained  ...  Our proposed approach records near perfect classification accuracy in categorizing burnt skin ad injured skin of approximately 99.9%.  ...  This process was applied to several deep neural network models including VGG- 16 Pressure Ulcer and Bruises Pressure ulcer injuries are mostly sustained on body locations at bony prominence coupled  ... 
doi:10.3390/asi3020020 fatcat:5jkw753duvbgjdzt2mgqqposka

Machine Learning-Based Pressure Ulcer Prediction in Modular Critical Care Data

Petr Šín, Alica Hokynková, Nováková Marie, Pokorná Andrea, Rostislav Krč, Jan Podroužek
2022 Diagnostics  
Among efficient approaches to such high-dimensional problems are a number of machine learning methods, which are applied in this paper to pressure ulcer prediction in modular critical care data.  ...  In particular, this paper address both theoretical and practical aspects related to the application of six classification models to pressure ulcers, while utilizing one of the largest available Medical  ...  NU21-09-00541, "The role of oxidative stress in pressure ulcers treatment in a patient with spinal injury". All rights reserved. The grant no.  ... 
doi:10.3390/diagnostics12040850 pmid:35453898 pmcid:PMC9030498 fatcat:f5wydr2kxfemtmyw54rh3ykojy

Machine learning in the prevention, diagnosis and management of diabetic foot ulcers: A systematic review

Jack Tulloch, Reza Zamani, Mohammad Akrami
2020 IEEE Access  
tissue and tissue with no risk of ulceration.  ...  The estimated cost to the UK's NHS is around £580 million a year, with £307 million spent on ulceration in the primary care setting [5] .  ...  Content may change prior to final publication. Citation information: DOI 10.1109/ACCESS.2020.3035327, IEEE Access 41  ... 
doi:10.1109/access.2020.3035327 fatcat:nthgwmkzovcbnkr67eue4kvvwi

Diabetic foot ulcers in conjunction with lower limb lymphedema: pathophysiology and treatment procedures

Muholan Kanapathy, Mark Portou, Janice Tsui, Toby Toby Richards
2015 Chronic Wound Care Management and Research  
Diabetic foot ulcers (DFUs) are complex, chronic, and progressive wounds, and have a significant impact on morbidity, mortality, and quality of life.  ...  We then discuss the principles of management of DFU in conjunction with lymphedema.  ...  layer of the skin. 33 This leads to alteration of the tissue properties in response to external pressure, predisposing to ulcer formation.  ... 
doi:10.2147/cwcmr.s62919 fatcat:lconpbcipbhwxpjyb4sknet4qy

Computer vision applied to dual-energy computed tomography images for precise calcinosis cutis quantification in patients with systemic sclerosis

Anita C. Chandrasekaran, Zhicheng Fu, Reid Kraniski, F. Perry Wilson, Shannon Teaw, Michelle Cheng, Annie Wang, Shangping Ren, Imran M. Omar, Monique E. Hinchcliff
2021 Arthritis Research & Therapy  
between the radiologists' and the CNN algorithm-generated area estimates.  ...  An expert musculoskeletal radiologist confirmed accurate manual segmentation (subtraction) of the phalanges for each image as a gold standard, and a U-Net Convolutional Neural Network (CNN) computer vision  ...  The clinical presentation is highly variable including an incidental finding on imaging, lesions in the hands or pressure point areas resulting in soft tissue swelling and ulceration, to disabling and  ... 
doi:10.1186/s13075-020-02392-9 pmid:33407814 fatcat:k65h4efpuzb4xfk5l236d427vm

Infrared thermal images classification for pressure injury prevention incorporating the convolutional neural networks

Yu Wang, Xiaoqiong Jiang, Kangyuan Yu, Fuqian Shi, Longjiang Qin, Hui Zhou, Fuman Cai
2021 IEEE Access  
The classification accuracy of the proposed convolutional neural networks model was 95.2% and the area under curve was 0.98.  ...  This measure should be performed in high-risk populations to reduce the incidence of pressure injury. INDEX TERMS Convolutional neural networks, thermal image, pressure injury.  ...  ACKNOWLEDGMENT The authors would like to acknowledge the participants and their families for taking part in this study and the assistance of all administrators and staff in hospital.  ... 
doi:10.1109/access.2021.3051095 fatcat:mhgcus574vcrlmvkqizjqb54je

A deep learning approach for pressure ulcer prevention using wearable computing

Giovanni Cicceri, Fabrizio De Vita, Dario Bruneo, Giovanni Merlino, Antonio Puliafito
2020 Human-Centric Computing and Information Sciences  
and the level of accuracy we were able to reach, comparing our model with other popular machine learning approaches.  ...  In this sense, e-health proposes several approaches to deal with this problem, however, these are not always very accurate and capable to prevent issues of this kind efficiently.  ...  For this reason, instead of using pressure sensors and exerting pressure directly on areas of the skin or on the bed, we thought to monitor the patient with wearable sensors with the support of machine  ... 
doi:10.1186/s13673-020-0211-8 fatcat:i2brt3kb5ffong2qkwrnpe6h6u

Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks [article]

Chuanbo Wang, DM Anisuzzaman, Victor Williamson, Mrinal Kanti Dhar, Behrouz Rostami, Jeffrey Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu
2020 arXiv   pre-print
We demonstrate the effectiveness and mobility of our method by conducting comprehensive experiments and analyses on various segmentation neural networks.  ...  We build an annotated wound image dataset consisting of 1,109 foot ulcer images from 889 patients to train and test the deep learning models.  ...  These segmented areas are utilized as an assessment of the early stages of ulcer healing by detecting the growth of granulation tissue on ulcer bed.  ... 
arXiv:2010.05855v1 fatcat:zuqxqcskxnb4tdwdyh2dcoc6we

Fully automatic wound segmentation with deep convolutional neural networks

Chuanbo Wang, D. M. Anisuzzaman, Victor Williamson, Mrinal Kanti Dhar, Behrouz Rostami, Jeffrey Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu
2020 Scientific Reports  
The performance is not compromised and is comparable to deeper neural networks.  ...  We demonstrate the effectiveness and mobility of our method by conducting comprehensive experiments and analyses on various segmentation neural networks.  ...  These segmented areas are utilized as an assessment of the early stages of ulcer healing by detecting the growth of granulation tissue on ulcer bed.  ... 
doi:10.1038/s41598-020-78799-w pmid:33318503 fatcat:dt7t4wvcwjatnkpr5b73jvodby

2020 Index IEEE Transactions on Biomedical Engineering Vol. 67

2020 IEEE Transactions on Biomedical Engineering  
Intracranial Pressure Estimation and Tracking; TBME June 2020 1604-1615 Imtiaz, M.H., see Belsare, P., 2309-2316 Inan, O.T., see Mabrouk, S., 1019-1029 Inan, O.T., see Aydemir, V.B., 1303-1313 Iordachita  ...  "Medical Image Synthesis With Deep Convolutional Adversarial Networks" [Mar 18 2720-2730]; TBME Sept. 2020 2706 Nie, Q., see Zheng, X., 1418-1428 Nieberler, M., see Gorpas, D., TBME Jan. 2020 185-192  ...  Tseng, H.W., +, TBME Sept. 2020 2443-2452 Locally Adaptive Total p-Variation Regularization for Non-Rigid Image Convolutional neural nets A Deep Convolutional Neural Network Approach to Classify Normal  ... 
doi:10.1109/tbme.2020.3048339 fatcat:y7zxxew27fgerapsnrhh54tm7y

Table of Contents

2019 2019 International Conference on Advancements in Computing (ICAC)  
High levels of blood glucose can ultimately create nerve injury to the tissues in the extremities. The damage to nerves is a significant reason to occur foot ulcers.  ...  URL Classification Engine produced high accuracy on Random Forest with 92.94% precision, Artificial Neural Networks with 90.33% precision and Logistic Regression with 91.41% precision.  ... 
doi:10.1109/icac49085.2019.9129879 fatcat:gm5mw7qn5ncoxjr6klcl3x4uju

VR-Caps: A Virtual Environment for Capsule Endoscopy [article]

Kagan Incetan, Ibrahim Omer Celik, Abdulhamid Obeid, Guliz Irem Gokceler, Kutsev Bengisu Ozyoruk, Yasin Almalioglu, Richard J. Chen, Faisal Mahmood, Hunter Gilbert, Nicholas J. Durr, Mehmet Turan
2021 arXiv   pre-print
To validate this approach, we train state-of-the-art deep neural networks to accomplish various medical image analysis tasks using simulated data from VR-Caps and evaluate the performance of these models  ...  The desired tasks for these systems include visual localization, depth estimation, 3D mapping, disease detection and segmentation, automated navigation, active control, path realization and optional therapeutic  ...  It enables Unity to serve as an interactive platform for the training of neural networks based intelligent agents using state-of-the art approaches in deep reinforcement learning and imitation learning  ... 
arXiv:2008.12949v2 fatcat:pdtbj2ytajhrzcdd3jjyloilqq
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