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Fast, robust anatomical sketch recognition | |
Author | Le Hong Hai |
Call Number | AIT Thesis no.CS-06-14 |
Subject(s) | Human anatomy--Drawing--Computer program |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Thesis ; no. CS-06-14 |
Abstract | Sketches are often used in medicine. Sketching provides an effective means of illustration. Physicians commonly use sketches when taking notes in patient records and to help convey diagnoses and treatments to patients. In medical learning, students frequently use sketches to help then think through clinical problems in individual and group problem solving. So the ability to recognize those sketches could bring benefit in many medical applications such as automated patient records and education software in medicine. With the support of tablet PC or pen-based devices, these applications become more feasible. In this thesis, I develop a new approach to recognizing anatomical sketches. The approach consists of two steps. The first step is for calculating the similarity between the sketch and a set of templates with the notice that the sketches are really different in the amount of the detail and whereas the internal details of medical sketches vary within a given category, the outline is relatively stable. The second step uses Support Vector Machine to classify the sketch. The results of the approaches are evaluated over a number of sketches drawn by medical students. To measure the effectiveness of the approaches, the accuracies of the recognition between the system and medical students are compared |
Year | 2006 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. CS-06-14 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Computer Science (CS) |
Chairperson(s) | Haddawy, Peter; |
Examination Committee(s) | Dailey, Matthew ;Janecek, Paul ; |
Scholarship Donor(s) | Ministry of Education and Training, Viet Nam ; |
Degree | Thesis (M.Sc.) - Asian Institute of Technology, 2006 |