Marching cubes is an algorithm that processes 3 dimensional medical data and builds models with fine details. By specifying density values, the users can select the desired surface. This algorithm basically works on the technique of divide and conquer and is greatly useful in the healthcare software industry. This is a somewhat old paper and it would be interesting to know about the latest developments in the models built using this algorithm. On the positive side, it was interesting to learn about its application to medical softwares on account of the diagrams presented by the author such as bone surface, soft tissue, etc, although these figures are not clearly presented in the paper. One suggestion that came to my mind regarding the paper was to include a comparision with the different models in existence at the time this paper was published, just to give an idea of the effectiveness of this algorithm.
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