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On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems
2011
2011 11th International Conference on Hybrid Intelligent Systems (HIS)
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Tissue classification has become more sophisticated in medical domain where the classification of tissues are performed with the spectra meter. ...
Using the computed multi attribute sectional light absorption values, the method generates number of rules to perform image classification. ...
The tool thus developed highly descriptive, especially when combined with a ensures stability under lighting condition, viewpoint and multiple instance learning approach to image camera changes, to achieve ...
doi:10.1109/his.2011.6122107
dblp:conf/his/CintraMCC11
fatcat:4nqddv6lvrftnhxoke2jz7i7ve
The Enlightening Role of Explainable Artificial Intelligence in Chronic Wound Classification
2021
Electronics
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In this study, XAI techniques are applied to chronic wound classification. The proposed model classifies chronic wounds through the use of transfer learning and fully connected layers. ...
This hybrid approach is shown to aid with the interpretation and understanding of AI decision-making processes. ...
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
Image Based Artificial Intelligence in Wound Assessment: A Systematic Review
[article]
2020
arXiv
pre-print
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To this end, we have carried out a systematic review of intelligent image-based data analysis and system developments for wound assessment. ...
Efficient and effective assessment of acute and chronic wounds can help wound care teams in clinical practice to greatly improve wound diagnosis, optimize treatment plans, ease the workload and achieve ...
[74] for wound-bed tissue recognition by using three machine learning approaches. ...
arXiv:2009.07141v1
fatcat:mbe3fopi75cwvao5opyhgquqgq
Front Matter: Volume 10579
2018
Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications
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A unique citation identifier (CID) number is assigned to each article at the time of publication. ...
Please use the following format to cite material from these proceedings: Publication of record for individual papers is online in the SPIE Digital Library. ...
diffusion weighted imaging parameters in tumor and peritumoral stroma for
prediction of molecular subtypes in breast cancer [10579-21]
10579 0Q
10579 0V
A hybrid deep learning approach to predict ...
doi:10.1117/12.2323917
fatcat:3uzebpmtb5b3plv2of5hajftw4
Spotting Brain and Pancreatic Tumor Identification Through SRM Segmentation and Naive Bayes Method
2019
International journal of recent technology and engineering
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Amid sundry medical image modalities, magnetic resonance imaging dispenses utmost preferred contrast information about brain tissues from a diversity of excitation sequences. ...
Therefore, remedy forethought is a key to the midway to recover grace lifespan of oncological patients. ...
Nevertheless, interpreting these consequences to the effective room is hard due to reformed body locating, tissue operation, and absence of sensitivity to sense microscopic wounds [4] .
II. ...
doi:10.35940/ijrte.d1076.1284s219
fatcat:vxsit3q2jfavteloovscqpki4e
Robust tissue classification for reproducible wound assessment in telemedicine environments
2010
Journal of Electronic Imaging (JEI)
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In telemedicine environments, a standardized and reproducible assessment of wounds, using a simple free-handled digital camera, is an essential requirement. ...
However, to ensure robust tissue classification, particular attention must be paid to the complete design of the color processing chain. ...
We can see that unsupervised learning is inefficient in classifying the tissue samples into four different classes, whereas the supervised approach appears to be quite relevant for this kind of problem ...
doi:10.1117/1.3378149
fatcat:lcfwp34bmzho5gz3u66zwn6ouu
Automated Structural Analysis and Quantitative Characterization of Scar Tissue Using Machine Learning
2022
Diagnostics
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The current study aimed to develop a method for the rapid and automatic characterization of scar lesions in HE-stained scar tissues using a supervised and unsupervised learning algorithm. ...
An analysis of scar tissue is necessary to understand the pathological tissue conditions during or after the wound healing process. ...
Some of these methods can also be grouped into data-level, algorithm-level, and hybrid approaches. ...
doi:10.3390/diagnostics12020534
pmid:35204623
pmcid:PMC8871086
fatcat:73xicgaetffjjjj2ilf7ojqipy
ICSITech 2019 Parallel Session Schedule
2019
2019 5th International Conference on Science in Information Technology (ICSITech)
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Parallel Session Schedule
SAMAS Room -Artificial Intelligence Track Eyeball Movement Detection Using Sector Line Distance Approach and Learning Vector Quantization Gusti Pangestu, Fitra A. ...
Indra Perwira 15:40 -16:00 (#1570586958) Wound Classifications Of Breast Tissues with Electrical Impedance Spectroscopy (EIS): Comparison of LVQ and GA-LVQ Yoke K Arbawa, R. ...
doi:10.1109/icsitech46713.2019.8987511
fatcat:ro6dweln2zeutm76jfomsos4jy
A Smartphone based Wound Assessment System for Patients with Diabetes using Accelerated Mean Shift Algorithm
2017
International Journal of Engineering Research and
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In this paper, we propose a novel wound image analysis system implemented solely on the Android smartphone. ...
Hence, a more quantitative and cost-effective examination method that enables the patients and their caregivers to take a more active role in daily wound care potentially can accelerate wound healing, ...
ACKNOWLEDGEMENT The authors would like to thank all the reviewers for their constructive comments which greatly improve the scientific quality of the manuscript. ...
doi:10.17577/ijertv6is050518
fatcat:msokh7wktver3e3dxcmsgj4xx4
Front Matter: Volume 11597
2021
Medical Imaging 2021: Computer-Aided Diagnosis
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Contents LUNG I
04 Role of standard and soft tissue chest radiography images in COVID-19 diagnosis using deep learning 11597 05 Deep radiomics: deep learning on radiomics texture images 11597 06 COVID ...
-19 pneumonia diagnosis using chest x-ray radiograph and deep learning 11597 07 Automatic localization of lung opacity in chest CT images: a real-world study 11597 08 Transferring CT image biomarkers ...
11597 1W Panoptic segmentation of wounds in a pig model 11597 1X Tooth recognition and classification using multi-task learning and post-processing in dental panoramic radiographs
2H Tissue-border ...
doi:10.1117/12.2595447
fatcat:u25cvo7adbgcxb363rsnsgnsju
Evaluation of Biomedical Imaging in Deep Neural Networks
2021
Journal of Biomedical and Sustainable Healthcare Applications
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Learning, Big Data. ...
The creation of general methods and terminology of digitized signal and image processing occurred in tandem with the growth of medical imaging technology in the 1970s and beyond, as well as the advent ...
Visible light imaging is used in dermatology and wound treatment, for example. ...
doi:10.53759/0088/jbsha202101004
fatcat:4w5zpwmexbe6dka4qo6e2cdg7u
Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study
2020
Applied Sciences
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One of the main challenges of employing deep learning models in the field of medicine is a lack of training data due to difficulty in collecting and labeling data, which needs to be performed by experts ...
To overcome this drawback, transfer learning (TL) has been utilized to solve several medical imaging tasks using pre-trained state-of-the-art models from the ImageNet dataset. ...
Research Problem in Transfer Learning It is difficult to obtain good performance with a deep learning approach due to the massive number of images required for training. ...
doi:10.3390/app10134523
fatcat:jnerfaghujhfrkv2kmqbo7ng4e
The Prepectoral, Hybrid Breast Reconstruction
2020
Plastic and Reconstructive Surgery, Global Open
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Conclusions: The hybrid reconstructive approach is a reliable technique to improve the outcomes in implant-based breast reconstructions. ...
Methods: A single surgeon's experience with the ergonomic, hybrid approach in primary and secondary breast reconstructions is presented. ...
The choice to perform a hybrid breast reconstruction was based on a personalized approach of the patient. ...
doi:10.1097/gox.0000000000002966
fatcat:7vhoauw64vahvp66fjjuwa6ory
Dendritic macromers for hydrogel formation: Tailored materials for ophthalmic, orthopedic, and biotech applications
2007
Journal of Polymer Science Part A: Polymer Chemistry
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A salient feature of the macromolecules described herein, and a goal of our research effort, is to prepare dendritic macromolecules suitable for in vitro and in vivo use by focusing on biocompatible building ...
tissue engineering, and hydrogel reaction chambers for high throughput screening of molecular recognition events. ...
With regards to the resulting crosslinked hydrogels formed from these macromers, there are a number of important points to learn. ...
doi:10.1002/pola.22525
fatcat:yqxfp7gnr5carjhegznvv3gn54
Imaging Techniques for Clinical Burn Assessment with a Focus on Multispectral Imaging
2016
Advances in Wound Care
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ICG imaging Another approach to augmenting burn wound assessment has been the introduction of ICG fluorescent dyes in combination with videoangiography. ...
Photoacoustic imaging (PAI) is a hybrid imaging technology, whereby an ultrasound probe is used to detect ultrasonic waves induced by laser light. ...
doi:10.1089/wound.2015.0684
pmid:27602255
pmcid:PMC4991589
fatcat:fc6hpyrj7bgxpfwepmjg5ilwpq
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