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Support Vector Machine Based Diagnostic System for Thyroid Cancer using Statistical Texture Features
Gopinath, B.,Shanthi, N. Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.1
Objective: The aim of this study was to develop an automated computer-aided diagnostic system for diagnosis of thyroid cancer pattern in fine needle aspiration cytology (FNAC) microscopic images with high degree of sensitivity and specificity using statistical texture features and a Support Vector Machine classifier (SVM). Materials and Methods: A training set of 40 benign and 40 malignant FNAC images and a testing set of 10 benign and 20 malignant FNAC images were used to perform the diagnosis of thyroid cancer. Initially, segmentation of region of interest (ROI) was performed by region-based morphology segmentation. The developed diagnostic system utilized statistical texture features derived from the segmented images using a Gabor filter bank at various wavelengths and angles. Finally, the SVM was used as a machine learning algorithm to identify benign and malignant states of thyroid nodules. Results: The SVMachieved a diagnostic accuracy of 96.7% with sensitivity and specificity of 95% and 100%, respectively, at a wavelength of 4 and an angle of 45. Conclusion: The results show that the diagnosis of thyroid cancer in FNAC images can be effectively performed using statistical texture information derived with Gabor filters in association with an SVM.
Mondal, Gopinath,Bera, Pradip,Santra, Ananyakumari,Jana, Sumanta,Mandal, Tarak Nath,Mondal, Anup,Seok, Sang Il,Bera, Pulakesh The Royal Society of Chemistry 2014 NEW JOURNAL OF CHEMISTRY Vol.38 No.10
<P>The reaction of CuCl<SUB>2</SUB>·2H<SUB>2</SUB>O with the methyl ester of 3,5-dimethyl pyrazole-1-dithioic acid (mdpa) yields a blackish brown complex of composition, [Cu(mdpa)<SUB>2</SUB>][CuCl<SUB>2</SUB>]. The complex formed a well-defined crystal and is characterized by single-crystal X-ray diffraction, thermogravimetry (TG), and spectroscopic studies. The molecule possesses a distorted tetrahedral configuration with a CuN<SUB>2</SUB>S<SUB>2</SUB> chromophore with +1 oxidation state of copper. The TG study reveals that the molecule is a suitable precursor for copper sulfide nanoparticles. The low temperature thermal decomposition of the single-source precursor produces hexagonal chalcocite (Cu<SUB>2</SUB>S) nanostructures in ethylene diamine and ethylene glycol. A selective synthesis of copper-rich high chalcocite was obtained using the new precursor. The size and morphology of the synthesized Cu<SUB>2</SUB>S nanoparticles are guided by the precursor and likely to be less dependent on the solvent used in the experiment. The nanoparticles were characterized by X-ray diffraction, scanning electronic microscope, and UV-Vis spectroscopic studies. The optical band gap of the as-synthesized Cu<SUB>2</SUB>S nanoparticles is measured to be 1.80–2.40 eV. The Cu<SUB>2</SUB>S nanoparticles are found to be good catalysts in UV photo catalytic decomposition (90%) of Congo red (CR) dye following first-order reaction kinetics, and the reusability study of the Cu<SUB>2</SUB>S catalyst also shows excellent catalytic performance (80%).</P> <P>Graphic Abstract</P><P>A new single-source precursor, [Cu(mdpa)<SUB>2</SUB>][CuCl<SUB>2</SUB>], is used to prepare selectively high chalcocite (Cu<SUB>2</SUB>S) with excellent photodegradation of Congo red (CR). <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=c4nj00584h'> </P>
Girish Gopinath,S. Nimmi 대한공간정보학회 2018 Spatial Information Research Vol.26 No.4
The increasing availability of remote sensing imageries with different spatial, spectral, temporal and radiometric characteristics expands the horizon of our choices in imageries and vegetation mapping. Among the various techniques in vegetation mapping the use of vegetative indices confiscates the simplest and easiest one to understand and calculate. This work proposes automatic extraction of different vegetation and water indices from ResourceSat-1(IRS-P6) images. The concept paves to calculate indices for any ResourceSat image prearranged to the program which is written in MATLAB 2013a. The effortlessly accessible images from its onboard sensors as Medium Resolution Linear Imaging Self-Scanner (LISSIII) and Advanced Wide Field Sensor (AWiFS) were considered to calculate six major indices like Normalized Difference Vegetation Index, Infrared Percentage Vegetation Index, Ratio Vegetation Index, Green Normalized Difference Vegetation Index, Green Red Vegetation Index, and Normalized Difference Water Index automatically. The program was written for any ResourceSat (LISS-III and AWiFS) data so that further analysis as well as calculation of more indices can be done by any individual within MATLAB. The user-friendly and time preserving feature makes MATLAB more powerful that any common user can deal with the analysis without the presence of any GIS experts that other softwares do.
Srinivas Kodaganur Gopinath,Sabita Jiwnani,Parthiban Valiyuthan,Swapnil Parab,Devayani Niyogi,Virendrakumar Tiwari,C. S. Pramesh 대한심장혈관흉부외과학회 2023 Journal of Chest Surgery (J Chest Surg) Vol.56 No.5
Background: The objective of this study was to demonstrate the safety, efficacy, and feasibility of intraoperative monitoring of the recurrent laryngeal nerves during thoracoscopic and robotic 3-field esophagectomy. Methods: This retrospective analysis details our initial experience using intraoperative nerve monitoring (IONM) during minimally invasive 3-field esophagectomy. Data were obtained from a prospectively maintained database and electronic medical records. The study included all patients who underwent minimally invasive (video-assisted thoracic surgery/robotic) transthoracic esophagectomy with neck anastomosis. The patients were divided into those who underwent IONM during the study period and a historical cohort who underwent 3-field esophagectomy without IONM at the same institution. Appropriate statistical tests were used to compare the 2 groups. Results: Twenty-four patients underwent nerve monitoring during minimally invasive 3-field esophagectomy. Of these, 15 patients underwent thoraco-laparoscopic operation, while 9 received a robot-assisted procedure. In the immediate postoperative period, 8 of 24 patients (33.3%) experienced vocal cord paralysis. Relative to a historical cohort from the same institution, who were treated with surgery without nerve monitoring in the preceding 5 years, a 26% reduction was observed in the nerve paralysis rate (p=0.08). On follow-up, 6 of the 8 patients with vocal cord paralysis reported a return to normal vocal function. Additionally, patients who underwent IONM exhibited a higher nodal yield and a decreased frequency of tracheostomy and bronchoscopy. Conclusion: The use of IONM during minimally invasive 3-field esophagectomy is safe and feasible. This technique has the potential to decrease the incidence of recurrent nerve palsy and increase nodal yield.
An Efficient Multi-Layer Encryption Framework with Authentication for EHR in Mobile Crowd Computing
레티나쿠마르,Gopinath Ganapathy,강건욱 한국인터넷방송통신학회 2019 Journal of Advanced Smart Convergence Vol.8 No.2
Mobile Crowd Computing is one of the most efficient and effective way to collect the Electronic health records and they are very intelligent in processing them. Mobile Crowd Computing can handle, analyze and process the huge volumes of Electronic Health Records (EHR) from the high-performance Cloud Environment. Electronic Health Records are very sensitive, so they need to be secured, authenticated and processed efficiently. However, security ,privacy and authentication of Electronic health records(EHR) and Patient health records(PHR) in the Mobile Crowd Computing Environment have become a critical issue that restricts many healthcare services from using Crowd Computing services .Our proposed Efficient Multi-layer Encryption Framework(MLEF) applies a set of multiple security Algorithms to provide access control over integrity, confidentiality ,privacy and authentication with cost efficient to the Electronic health records(HER)and Patient health records(PHR). Our system provides the efficient way to create an environment that is capable of capturing, storing, searching, sharing, analyzing and authenticating electronic healthcare records efficiently to provide right intervention to the right patient at the right time in the Mobile Crowd Computing Environment.
A Novel Architecture for Mobile Crowd and Cloud computing for Health care
레티나쿠마르,Gopinath Ganapathy,강정진 국제문화기술진흥원 2018 International Journal of Advanced Culture Technolo Vol.6 No.4
The rapid pace of growth in internet usage and rich mobile applications and with the advantage of incredible usage of internet enabled mobile devices the Green Mobile Crowd Computing will be the suitable area to research combining with cloud services architecture. Our proposed Framework will deploy the eHealth among various health care sectors and pave a way to create a Green Mobile Application to provide a better and secured way to access the Products/ Information/ Knowledge, eHealth services, experts / doctors globally. This green mobile crowd computing and cloud architecture for healthcare information systems are expected to lower costs, improve efficiency and reduce error by also providing better consumer care and service with great transparency to the patient universally in the field of medical health information technology. Here we introduced novel architecture to use of cloud services with crowd sourcing.
Yoo, Hyoungsuk,Gopinath, Anand,Vaughan, J. Thomas IEEE 2012 IEEE Transactions on Biomedical Engineering Vol.59 No.12
<P>In high-field magnetic resonance imaging (MRI) systems, <I>B</I><SUB>0</SUB> fields of 7 and 9.4 T, the RF field shows greater inhomogeneity compared to clinical MRI systems with <I>B</I><SUB>0</SUB> fields of 1.5 and 3.0 T. In multichannel RF coils, the magnitude and phase of the input to each coil element can be controlled independently to reduce the nonuniformity of the RF field. The convex optimization technique has been used to obtain the optimum excitation parameters with iterative solutions for homogeneity in a selected region of interest. The pseudoinverse method has also been used to find a solution. The simulation results for 9.4- and 7-T MRI systems are discussed in detail for the head model. Variation of the simulation results in a 9.4-T system with the number of RF coil elements for different positions of the regions of interest in a spherical phantom are also discussed. Experimental results were obtained in a phantom in the 9.4-T system and are compared to the simulation results and the specific absorption rate has been evaluated.</P>