Smart Computational Strategies: Theoretical and Practical Aspects, 2019
Lung cancer is the most prevailing form of cancer and claims more lives each year in comparison o... more Lung cancer is the most prevailing form of cancer and claims more lives each year in comparison of colon, prostate, and breast cancers combined. The prominent types of lung cancers are explained here along with their database details. In this work, the radiomic approach is proposed for the process of detection and analysis of lung cancer due to its impressive prognostic power. This becomes possible with the advent of computer aided detection system that not only provides a cost effective technique but also provides a noninvasive provision. The main aspect of this approach relies on its ease of implementation over the different types of databases irrespective to the category of cancer. The precise detection and prediction is possible via radiomic approach, which becomes state-of-the-art technique for lung cancer analysis. In future, the radiomic approach would be employed along with the deep learning models in conjunction with the computer-aided detection system for better diagnosis ...
2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), 2016
Now a day, the entrance into digital world is making an excrescent growth. So, there is a need to... more Now a day, the entrance into digital world is making an excrescent growth. So, there is a need to handle vast amount of informative data in efficient and effective manner. But digital information is often contaminated by noise during storage and fetching. In order to make the practical use of data, it is essential to make data noise free. In this context, we describe approximate digital implementation of a mathematical transform, namely wavelet transform. The particular wavelet which is chose here is the Haar wavelet i.e. the simplest wavelet. Here, this transform is applied to denoise standard image corrupted with Speckle and Gaussian noise. The quality of de-noised image has been evaluated on the basis of some factors like Peak Signal to Noise Ratio (PSNR) and Mean Squared Error (MSE). Later, a comparison for efficiency of Haar wavelet using Bay's thresholding in removal of Speckle and Gaussian noise has been carried out where results shows that this wavelet denoising techniqu...
International Journal of Innovative Technology and Exploring Engineering
Lung Cancer is among the deadliest disease that tolls mass every year. Information technology is ... more Lung Cancer is among the deadliest disease that tolls mass every year. Information technology is playing an indispensable part in availing the most successful diagnosis and top treatment strategies to fight the condition when detected at an earliest stage. The work encompasses the improvement in the quality of image segmentation of Computer Tomography (CT) medical images of lung cancer. The paper evaluates the performance of two algorithms as a post segmentation process, namely, Artificial Bee Colony (ABC) and Cuckoo Search (CS). Support Vector Machine(SVM) is also used as a cross validator over the post segmentation algorithms ABC and CS. The experimental evaluation includes Accuracy, Precision, Error, Segmentation Time, Recall and F-measure to determine the success of the proposed hybrid model. The proposed results exhibit an improved Accuracy, Precision, Recall and F-measure by 5%, 6%, 3%, 4% and 10%, 11%., 12%, 11% for k-ABC and kCS respectively.
International Journal of Innovative Technology and Exploring Engineering
As of now the detection and classification of lung cancer disease is one of the most tedious task... more As of now the detection and classification of lung cancer disease is one of the most tedious tasks in the field of medical area. In the diversified sector of medical industry usage of technology plays a very important role. Detection and diagnosis of the lung cancer at an early stage with more accuracy is the most challenging task. So, in this research article 400 set of images has been used for this experiment. Best feature extraction technique and best feature optimization technique has been analyzed on the basis of parameter minimum execution time with minimum error rate. Then finest selection of features leads to an optimal classification. In this context, one of the best classification algorithm the support vector machine has been proposed in this hybrid model for the binary classification. Further Feed forward back propagation neural network has been implemented with SVM. This proposed hybrid model reduces the complexity of the system on the basis of minimum execution time tha...
Smart Computational Strategies: Theoretical and Practical Aspects, 2019
Lung cancer is the most prevailing form of cancer and claims more lives each year in comparison o... more Lung cancer is the most prevailing form of cancer and claims more lives each year in comparison of colon, prostate, and breast cancers combined. The prominent types of lung cancers are explained here along with their database details. In this work, the radiomic approach is proposed for the process of detection and analysis of lung cancer due to its impressive prognostic power. This becomes possible with the advent of computer aided detection system that not only provides a cost effective technique but also provides a noninvasive provision. The main aspect of this approach relies on its ease of implementation over the different types of databases irrespective to the category of cancer. The precise detection and prediction is possible via radiomic approach, which becomes state-of-the-art technique for lung cancer analysis. In future, the radiomic approach would be employed along with the deep learning models in conjunction with the computer-aided detection system for better diagnosis ...
2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), 2016
Now a day, the entrance into digital world is making an excrescent growth. So, there is a need to... more Now a day, the entrance into digital world is making an excrescent growth. So, there is a need to handle vast amount of informative data in efficient and effective manner. But digital information is often contaminated by noise during storage and fetching. In order to make the practical use of data, it is essential to make data noise free. In this context, we describe approximate digital implementation of a mathematical transform, namely wavelet transform. The particular wavelet which is chose here is the Haar wavelet i.e. the simplest wavelet. Here, this transform is applied to denoise standard image corrupted with Speckle and Gaussian noise. The quality of de-noised image has been evaluated on the basis of some factors like Peak Signal to Noise Ratio (PSNR) and Mean Squared Error (MSE). Later, a comparison for efficiency of Haar wavelet using Bay's thresholding in removal of Speckle and Gaussian noise has been carried out where results shows that this wavelet denoising techniqu...
International Journal of Innovative Technology and Exploring Engineering
Lung Cancer is among the deadliest disease that tolls mass every year. Information technology is ... more Lung Cancer is among the deadliest disease that tolls mass every year. Information technology is playing an indispensable part in availing the most successful diagnosis and top treatment strategies to fight the condition when detected at an earliest stage. The work encompasses the improvement in the quality of image segmentation of Computer Tomography (CT) medical images of lung cancer. The paper evaluates the performance of two algorithms as a post segmentation process, namely, Artificial Bee Colony (ABC) and Cuckoo Search (CS). Support Vector Machine(SVM) is also used as a cross validator over the post segmentation algorithms ABC and CS. The experimental evaluation includes Accuracy, Precision, Error, Segmentation Time, Recall and F-measure to determine the success of the proposed hybrid model. The proposed results exhibit an improved Accuracy, Precision, Recall and F-measure by 5%, 6%, 3%, 4% and 10%, 11%., 12%, 11% for k-ABC and kCS respectively.
International Journal of Innovative Technology and Exploring Engineering
As of now the detection and classification of lung cancer disease is one of the most tedious task... more As of now the detection and classification of lung cancer disease is one of the most tedious tasks in the field of medical area. In the diversified sector of medical industry usage of technology plays a very important role. Detection and diagnosis of the lung cancer at an early stage with more accuracy is the most challenging task. So, in this research article 400 set of images has been used for this experiment. Best feature extraction technique and best feature optimization technique has been analyzed on the basis of parameter minimum execution time with minimum error rate. Then finest selection of features leads to an optimal classification. In this context, one of the best classification algorithm the support vector machine has been proposed in this hybrid model for the binary classification. Further Feed forward back propagation neural network has been implemented with SVM. This proposed hybrid model reduces the complexity of the system on the basis of minimum execution time tha...
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Papers by Pankaj Nanglia