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A hierarchical optimisation framework for pigmented lesion diagnosis

CAAI Transactions on Intelligence Technology 2022年第1期7卷 34-45页

作者： Audrey Huong KimGaik Tay KokBeng Gan xavier ngu Department of Electronic Engineering Universiti Tun Hussein Onn MalaysiaParit RajaMalaysia Department of Electrical Electronic&Systems EngineeringUniversiti Kebangsaan MalaysiaBangiMalaysia Institute of Integrated Engineering Universiti Tun Hussein Onn MalaysiaParit RajaMalaysia

The study of training hyperparameters optimisation problems remains underexplored in skin lesion *** is the first report of using hierarchical optimisation to improve computational effort in a four-dimensional search space for the *** authors explore training parameters selection in optimising the learning process of a model to differentiate pigmented lesions *** the authors'demonstration,pretrained GoogleNet is fine-tuned with a full training set by varying hyperparameters,namely epoch,mini-batch value,initial learning rate,and gradient *** iterative search of the optimal global-local solution is by using the derivative-based *** authors used non-parametric one-way ANOVA to test whether the classification accuracies differed for the variation in the training *** authors identified the mini-batch size and initial learning rate as parameters that significantly influence the model's learning *** authors'results showed that a small fraction of combinations(5%)from constrained global search space,in contrarily to 82%at the local level,can converge with early stopping *** mean(standard deviation,SD)validation accuracies increased from 78.4(4.44)%to 82.9(1.8)%using the authors'*** fine-tuned model's performance measures evaluated on a testing dataset showed classification accuracy,precision,sensitivity,and specificity of 85.3%,75.6%,64.4%,and 97.2%,*** authors'system achieves an overall better diagnosis performance than four state-of-the-art approaches via an improved search of parameters for a good adaptation of the model to the authors'*** extended experiments also showed its superior performance consistency across different deep networks,where the overall classification accuracy increased by 5%with this *** approach reduces the risk of search being trapped in a suboptimal solution,and its use may be expanded to network architecture optimisation for

关键词： hierarchical hyperparameter optimisation pigmented lesion search

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The application of extended modified Lambert Beer model for measurement of blood carboxyhemoglobin and oxyhemoglobin saturation

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Journal of Innovative Optical Health Sciences 2014年第3期7卷 108-114页

作者： Audrey Huong xavier ngu Department.of Electronic Engineering Faculty of Electrical and Electronic Engineering Uiniversity Tun Hussein Onn Malaysia Batu Pahat 86400 JohorMalaysia Department of Communication Engineering Faculty of Electrical and Electronic Engineering University Tun Hussein Onn Malaysia Batu Pahat 86400 JohorMalaysia

This work presents the use of extended Modified Lambert Beer(MLB)model for accurate andcontinuous monitoring of percent blood carboxyhemoglobin(COHb)(SCO)and oxyhemoglobin(OxyHb)saturation(SO,)via a fitting *** quantification technique is based on theabsorption characteristics of hemoglobin derivatives in the wavelength range of 520-600 nm togive the best estimates of the required parameters.A comparison of the performance of the developed model and MILB law is made using attenuation data from Monte Carlo simulations for a two-layered skin *** results revealed a lower mean absolute error of 0.4%in the valuesestimated by the developed model as compared to 10%that is given by the MILB *** studyshowed that the discussed approach is able to provide consistent and accurate measurement ofblood SO,and SCO across diferent skin pigmen tations suggesting that it may potentially be usedas an alternative means for clinical diagnosis of carbon monoxide(CO)poisoning.

关键词： Blood carboxyhemoglobin saturation carbon monoxide poisoning blood oxyhemoglobin saturation modified Lambert Beer law

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Multispectral imaging of acute wound tissue oxygenation

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Journal of Innovative Optical Health Sciences 2017年第3期10卷 89-96页

作者： Audrey Huong Sheena Philimon xavier ngu Department of Electronic Engineering Faculty of Electrical and Electronic Engineering University Tun Hussein Onn Malaysia Batu Pahat 86400 JohorMalaysia

This paper investigates the appropriate range of values for the transcutaneous blood oxygen saturation(StO2)of granulating tissues and the surrounding tissue that can ensure timely wound *** work has used a multispectral imaging system to collect wound images at wave-lengths ranging between 520 nm and 600 nm with a resolution of 10 *** part of this research,a pilot study was conducted on three injured individuals with superfcial wounds of different wound ages at different skin *** S_(t)O_(2)value predicted for the examined wounds using the Extended Modified Lambert-Beer model revealed a mean S_(t)O_(2)of 61±10.3%compared to 41.6±6.2%at the surrounding tissues,and 50.1±1.53%for control *** preliminary results contribute to the existing knowledge on the possible range and variation of wound bed S_(t)O_(2)that are to be used as indicators of the functioning of the vasomotion system and wound *** study has concluded that a high S_(t)O_(2)of approximately 60%and a large fuctuation in this value should precede a good progression in wound healing.

关键词： Multispectral imaging wound healing transcutaneous blood oxygen saturation extended modified Lambert-Beer.

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