|
|
|
|
| LEADER |
01386 am a22001813u 4500 |
| 001 |
49948 |
| 042 |
|
|
|a dc
|
| 100 |
1 |
0 |
|a Ehsani Rad, Abdolvahab
|e author
|
| 700 |
1 |
0 |
|a Mohd. Rahim, Mohd. Shafry
|e author
|
| 700 |
1 |
0 |
|a Rehman, Amjad
|e author
|
| 700 |
1 |
0 |
|a Ayman, Altameem
|e author
|
| 700 |
1 |
0 |
|a Saba, Tanzila
|e author
|
| 245 |
0 |
0 |
|a Evaluation of current dental radiographs segmentation approaches in computer-aided applications
|
| 260 |
|
|
|c 2013.
|
| 856 |
|
|
|z Get fulltext
|u http://eprints.utm.my/id/eprint/49948/1/MohdShafryMohd2013_Evaluationofcurrentdental.pdf
|
| 520 |
|
|
|a With a wide variety researches on Image segmentation techniques in biomedical and bioinformatics area, it is important to analyze the performance of these approaches in specific problems. Image segmentation is one of the most significant processes of dental X-ray image analysis. Therefore, to obtain the proper result, it is required to perform the accurate and efficient segmentation approach which proved itself in the aspect of X-ray image segmentation. The aim of this review paper is to understand the different image segmentation approaches which have been used for dental X-ray image analysis over the past studies. In this paper, different available approaches of dental X-ray image segmentation, reviewed and their advantages, disadvantages, and limitations are discussed.
|
| 546 |
|
|
|a en
|
| 650 |
0 |
4 |
|a QA76 Computer software
|
