| Type of Material: | Thesis |
| Title: | Development of Intelligent Algorithm to Find Elements of Tooth Pathology from Intra Oral Radiographic Images on Extraction of Featured Data |
| Researcher: | SHUBHANGI VINAYAK TIKHE |
| Guide: | PRAKASH, S |
| Department: | Department of Electrical and Electronics Engineering |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2019 |
| Language: | English |
| Subject: | Engineering | Engineering and Technology | Engineering Electrical and Electronic | Electrical Engineering | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Electrical and Electronics Engineering, Bharath University, Chennai, Chennai; 2019; D13EE513 |
| Fulltext: | Shodhganga |
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| 035 | __ | |a(IN-AhILN)th_454706 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aSHUBHANGI VINAYAK TIKHE|eResearcher |
| 110 | __ | |aDepartment of Electrical and Electronics Engineering|bBharath University, Chennai|dChennai|ein |
| 245 | __ | |aDevelopment of Intelligent Algorithm to Find Elements of Tooth Pathology from Intra Oral Radiographic Images on Extraction of Featured Data |
| 260 | __ | |aChennai|bBharath University, Chennai|c2019 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Electrical and Electronics Engineering, Bharath University, Chennai, Chennai|d2019|oD13EE513 |
| 520 | __ | |aDental caries is a very commonly observed tooth disease in mankind. Diagnosis and treatment planning for dental caries become more accurate with experience. With the advent in communication technology and computing power, it is required to bring automation and intelligence in diagnosis, prognosis and treatment planning. The objectives of present research are; to analyze digitally recorded Intra Oral Periapical radiographs (IOPA) for automatic determination of condition of teeth in the image, to use intelligent method for classification based on characteristics of image data in the IOPA and to use image processing techniques for determining appropriate characteristics that are embedded in IOPA. The algorithms developed in the present research work use Image Processing (IP) techniques and Artificial Neural Network (ANN) as a soft computing learning tool. Innovative segmentation algorithm, Multi point Search Algorithm for Automatic Segmentation (MSAAS) is developed during this research. This algorithm uses IP |
| 650 | __ | |aElectrical Engineering|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aEngineering |
| 653 | __ | |aEngineering and Technology |
| 653 | __ | |aEngineering Electrical and Electronic |
| 700 | __ | |aPRAKASH, S|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/311197|yShodhganga |
| 905 | __ | |afromsg |
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