| Type of Material: | Thesis |
| Title: | A novel texture extraction and classification model with t1 weighted mri for alzheimers disease |
| Researcher: | Krishnakumar, V |
| Guide: | Latha Parthiban |
| Department: | Department of Computer Science |
| Publisher: | Pondicherry University, Puducherry |
| Place: | Kalapet |
| Year: | 2019 |
| Language: | English |
| Subject: | Alzheimer s Disease | Computer Science | Computer Science Information Systems | Engineering and Technology | Medical Sciences | Electronic Science | Medical and Health Sciences | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Science, Pondicherry University, Puducherry, Kalapet |
| Fulltext: | Shodhganga |
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| 001 | 455168 | |
| 003 | IN-AhILN | |
| 005 | 2024-09-23 17:11:52 | |
| 008 | __ | 240923t2019||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_455168 |
| 040 | __ | |aPNDI_605104|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aKrishnakumar, V|eResearcher |
| 110 | __ | |aDepartment of Computer Science|bPondicherry University, Puducherry|dKalapet|ein|0U-0369 |
| 245 | __ | |aA novel texture extraction and classification model with t1 weighted mri for alzheimers disease |
| 260 | __ | |aKalapet|bPondicherry University, Puducherry|c2019 |
| 300 | __ | |axii,125|dDVD |
| 502 | __ | |cDepartment of Computer Science, Pondicherry University, Puducherry, Kalapet|bPhD |
| 518 | __ | |d2019|oDate of Award |
| 520 | __ | |aAmong the neurological disorders, Alzheimer s disease is one of the leading cause of fatality in the past decade. In America, there were over 5.7 million people affected by Alzheimer s Disease(AD) and an alarming 200,000 people who were less than 60 years, had got this aging dementia in 2018. The typical indicators of Alzheimer s dementia are disorientation, delusion, confusion, mental decline, difficulty in thinking, and understanding. AD detection at pre-clinical stage is important to enhance the quality of life of the patients. Neuroscientists develop various machine learning techniques to produce tools that can automatically recognize Alzheimer s disease at an early stage. Mathematical transformations like textures, wavelets, curvelets, and shearlets are used effectively in several medical image processing applications like brain tumour classification, human parts labeling, segmentation, and cancer detection. In this research, a 3D brain MRI based new texture extraction method is proposed and analyzed. |
| 650 | __ | |aMedical Sciences|2UGC |
| 650 | __ | |aElectronic Science|2UGC |
| 650 | __ | |aMedical and Health Sciences|2AIU |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aAlzheimer s Disease |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Information Systems |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |eGuide|aLatha Parthiban |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/432360|yShodhganga |
| 905 | __ | |afromsg |
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