World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , 

World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

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    MARCH 2021 Issue has been successfully launched on 1 March 2021.




Kavita Avinash Patil*, K. V. Mahendra Prashanth and Dr. A. Ramalingaiah


Osteoporosis is a pathological-disease that erodes the density and quality of bone which increases the risk of fractures and life menacing impediments. It approximately affects larger than 200-million people world-wide which is common in aging-women. The review is on automatically localizing and detection of lumbar-vertebrae using segmentation technique, which is challenging in medical-field. The elementary challenge connected with the above-declared mission is of the recurring structure of vertebral, restraint infield-view, the existence of pathology in the spine (surgical- implant), and reduction of contrast in imaging-modality of aimed structure. So, the dynamic method is adapted that is a Deep learning model used to predict a fully-automatic approach for identification and location of individual lumbar-vertebrae based on appropriate information of image with better dice-coefficient and accuracy. Even a statistical Multi vertebral method is chosen for localizing vertebrae and by iterating the Expectation-Maximization mode is used for registration of statistical Multi vertebral scheme to find the edge-points of an image to attain reliable and fast segmentation of the vertebral-bodies.

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