Name
Abstract | ||
|---|---|---|
•Segmentation of adherent or noncohesive tumours which can be unilateral or bilateral.•Semi-automated and statistical approach transacting directly on the abdominal section of a CT scan. This process would be significantly more difficult than patch based approaches since it uses the whole image.•Adrenal tumour segmentation including more than a single tumour type.•A detailed study using more than 30 CT images.•No efficient pipeline exists that is unaffected by shape and intensity features of different tumours (size, shape, and location variety, along with low contrast). |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cmpb.2018.01.032 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Adrenal tumour,Arterial and portal phase,Computed tomography,Hybrid approach,Statistical pipeline,Tumour segmentation | Computer vision,Computer science,Segmentation,Adaptive histogram equalization,Computed tomography,Artificial intelligence,Region growing,Radiology,Merge (version control),Size change,Quadtree decomposition,Adrenal gland | Journal |
Volume | ISSN | Citations |
159 | 0169-2607 | 1 |
PageRank | References | Authors |
0.37 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hasen Koyuncu | 1 | 14 | 4.84 |
| Rahime Ceylan | 2 | 259 | 17.10 |
| Hasan Erdogan | 3 | 3 | 0.80 |
| Mesut Sivri | 4 | 3 | 0.80 |