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Image processing could be done in CPU or in Graphical Processing Unit (GPU), using sequential programming or parallel programming respectively. Sequential and parallel programming are good in their own paradigm. This paper analyses the performances of various basic image processing algorithms on GPU as well as CPU. Various images with a range of dimensions have been used for the testing purpose. The...
Lung tumour segmentation is one of the challenging tasks in medical image processing due to the high diversity in appearance of tumour tissue among different cases. In this paper, a novel morphological based semi-automatic method for estimating and locating the volumes of multiple primary non-small cell stage-I bronchogenic carcinomas in medical CT DICOM images is proposed. Various morphological image...
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