Name
Abstract | ||
|---|---|---|
Chromosome analysis is an important task to detect genetic diseases. However, the process of identifying chromosomes can be very time-consuming. Therefore, the use of an automatic process to detect chromosomes is an important step to aid the diagnosis. The proposed work develop a new approach to automatize the segmentation of chromosomes, using adaptive thresholding combined with fuzzy logic. The proposed method is evaluated using the database from CRCN-NE, which has 35 images. Results showed that the proposed approach compared with state of the art techniques obtained better segmentation results, with sensitivity and specificity values of 91% and 92%, respectively. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/BRACIS.2018.00057 | 2018 7th Brazilian Conference on Intelligent Systems (BRACIS) |
Keywords | Field | DocType |
chromosome,segmentation,fuzzy,metaphase | Pattern recognition,Segmentation,Computer science,Fuzzy logic,Image segmentation,Fuzzy set,Artificial intelligence,Thresholding,Metaphase chromosome | Conference |
ISBN | Citations | PageRank |
978-1-5386-8024-7 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria F. S. Andrade | 1 | 0 | 0.34 |
| Filipe R. Cordeiro | 2 | 6 | 4.92 |
| Valmir Macario | 3 | 12 | 2.43 |
| Fabiana F. Lima | 4 | 0 | 0.68 |
| Suy F. Hwang | 5 | 0 | 0.34 |
| Julyanne C. G. Mendonca | 6 | 0 | 0.34 |