Publications by authors named "Jayadevappa D"
Article Synopsis
- Lung cancer is a major global health issue that requires early detection and treatment for better survival rates; however, relying solely on imaging techniques can be challenging for doctors.
- The proposed approach uses advanced methods like optimized deformable models and deep learning, involving steps such as pre-processing, lung lobe segmentation, and classification, to improve the accuracy of lung cancer detection.
- This method, utilizing the Water Cycle Sea Lion Optimization algorithm and the Shepard Convolutional Neural Network, achieved high performance metrics, showcasing better accuracy and sensitivity in detecting lung cancer.
Emotion recognition is very important for the humans in order to enhance the self-awareness and react correctly to the actions around them. Based on the complication and series of emotions, EEG-enabled emotion recognition is still a difficult issue. Hence, an effective human recognition approach is designed using the proposed feedback artificial shuffled shepherd optimization- (FASSO-) based deep maxout network (DMN) for recognizing emotions using EEG signals.
View Article and Find Full Text PDFWater Cycle Bat Algorithm and Dictionary-Based Deformable Model for Lung Tumor Segmentation.
Int J Biomed Imaging
November 2021
Among the different types of cancers, lung cancer is one of the widespread diseases which causes the highest number of deaths every year. The early detection of lung cancer is very essential for increasing the survival rate in patients. Although computed tomography (CT) is the preferred choice for lungs imaging, sometimes CT images may produce less tumor visibility regions and unconstructive rates in tumor portions.
View Article and Find Full Text PDFExchanging of medical data requires efficient authentication and protection of medical data that can be illegally modified. Watermarking plays an important role in protecting, sharing, and securing medical data. In this work, a robust nonblind medical image watermarking scheme is proposed.
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- The renal medulla of rats has higher levels of inducible nitric oxide synthase (iNOS) mRNA than the cortex, which might protect against ischemic injury due to low blood flow and oxygen levels.
- After administering E. coli lipopolysaccharide (LPS), both glomerular filtration rate (GFR) and effective renal plasma flow (ERPF) dropped significantly 1 hour post-treatment, but returned to normal levels by 18 hours in the studied rats.
- Immunoblot and immunohistochemical analyses showed that iNOS expression was higher in the medulla than the cortex, with a notable increase in the outer medulla following LPS treatment, highlighting regional differences in iNOS expression within the kidney.
We present a case of a non-Q wave myocardial infarction and acute renal failure following an ingestion of naphtha, a petroleum distillate composed primarily of hydrocarbons. The patient's renal, metabolic, and cardiac status improved over several days with aggressive volume replacement and bicarbonate therapy. Acute cardiotoxic effects of hydrocarbon exposure generally manifest as dysrhythmias, secondary to myocardial sensitization to circulating catecholamines, or, possibly, coronary vasospasm.
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