Medical imaging applied to teaching and meat science

Medical imaging has greatly progressed to become an essential technology in current clinical processes. However, advances in diagnostic imaging have not been applied to the same extent to other fields such as education and meat science. In this thesis two e-learning platforms are presented to improve teaching methodologies in medical and veterinary teaching, focusing mainly in the ease for the content creation and the image interaction, and supporting multiple graphical resources such as 3D models. An image processing algorithm is also presented to improve the quality classification process of farm animals by computing the lean meat percentage, either from carcass or live animals images, proposing for the latter two segmentation algorithms to remove the internal organs ​
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