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Mary Valantina, G.
- SBIR Based Screening for Lung Cancer
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Authors
Affiliations
1 Department of ETCE, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, IN
1 Department of ETCE, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, IN
Source
Research Journal of Pharmacy and Technology, Vol 12, No 1 (2019), Pagination: 62-66Abstract
Lung cancer is the most dangerous type of cancer in the world. Early detection can save the life and increase the survivability of patients. In this project we obtain a solution for lung cancer symptom detection by applying Shape based image retrieval (SBIR). Our algorithm is broadly divided into three parts, at first part we accept the data set of cancer symptoms which is a generalized way for creating the patterns for Lung Cancer Framework, and in the second part we find the relevant data from the patterns using segmentation approach. We can choose the frequent symptoms only by using the threshold value. Based on the threshold value we decide whether it’s a cancer cell or non-cancer cell. We initialize the cancer cell value to support the pattern of cancer symptoms. It is updated in each trial. By updating the cancer cell value in each step we can check the symptom precision which either increases the accuracy or decreases it. Finally, result analysis can be proved by the appropriately using artificial neural network algorithm.Keywords
Dicom, SVM, ANN, k-NN, Accuracy, Sensitivity, Precision and Specificity.References
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- GHR Monitoring with RSSI Tracking System for Alzheimer’s Disease Patients
Abstract Views :138 |
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Authors
Affiliations
1 Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, IN
1 Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, IN
Source
Research Journal of Pharmacy and Technology, Vol 12, No 1 (2019), Pagination: 280-282Abstract
Dementia is a physical condition and social concern emergency in worldwide. Generally it has an effect on the people at the age of 65 years or elder. The most general type of dementia is the Alzheimer’s disease, which is a degenerative anarchy of the brain caused by the build-up of beta amyloid plaques in the brain. To track and monitor the GHR i.e, Glucose level (G), Heartbeat (H) and, Respiration count (R) of Alzheimer’s disease, RSSI tracking system has been proposed. Three different sensors have been used to monitor GHR.Keywords
RSSI Tracking System, Glucose Sensor, Respiration Sensor, Heart Beat Sensors.References
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