Space Technologies for the Benefit of Human Society and Earth 2009
DOI: 10.1007/978-1-4020-9573-3_7
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Bridging Health Divide Between Rural and Urban Areas –Satellite Based Telemedicine Networks in India

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Cited by 7 publications
(4 citation statements)
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“…This review is limited to telemedicine by means of satellite communications. More in-depth assessment of the definition and breadth of telemedicine can be found in several review and discussion references [ 390 , 386 , 337 , 393 , 441 , 383 , 352 , 353 ], some theoretical articles linking satellite communication with health [ 441 , 415 , 446 , 448 , 372 , 444 , 451 , 453 , 449 , 445 , 442 , 454 , 447 , 364 , 450 ], as well as country reports [ 330 , 387 , 322 , 378 , 343 , 355 , 359 , 325 , 321 , 399 ].…”
Section: Resultsmentioning
confidence: 99%
“…This review is limited to telemedicine by means of satellite communications. More in-depth assessment of the definition and breadth of telemedicine can be found in several review and discussion references [ 390 , 386 , 337 , 393 , 441 , 383 , 352 , 353 ], some theoretical articles linking satellite communication with health [ 441 , 415 , 446 , 448 , 372 , 444 , 451 , 453 , 449 , 445 , 442 , 454 , 447 , 364 , 450 ], as well as country reports [ 330 , 387 , 322 , 378 , 343 , 355 , 359 , 325 , 321 , 399 ].…”
Section: Resultsmentioning
confidence: 99%
“…SPIHT is proved to be the best. But for ROI-based compression computational complexity is also one of the important issues to be considered, while addressing real time applications (Bhaskaranarayana et al 2009); (Park & Park 2002). A new and simple algorithm as explained above is used to encode the image.…”
Section: Resultsmentioning
confidence: 99%
“…Finally the selected features are applied to SVM classifier used to classify the image into normal or abnormal. A Sivaramkrishnan [10] presented a novel based approach in which Fuzzy C-mean (FCM) clustering algorithm was used to find the centroids of cluster groups to obtained brain tumor patterns . It is also preferred as faster clustering by using this centroid point can be located easily.…”
Section: Imagementioning
confidence: 99%