Name
Title | ||
|---|---|---|
An automatic method for segmentation of liver lesions in computed tomography images using deep neural networks |
Abstract | ||
|---|---|---|
•A computational method for liver lesions segmentation in CT images is presented.•Our method uses two deep neural networks and image processing techniques.•This method uses a dataset of CT images from LiTS.•The method achieved a Dice of 82.99%. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115064 | Expert Systems with Applications |
Keywords | DocType | Volume |
Liver cancer,Liver lesion segmentation,Convolutional neural networks,Computed tomography | Journal | 180 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Denes Lima Araújo | 1 | 4 | 1.74 |
| Luana Batista da Cruz | 2 | 3 | 2.74 |
| Jonnison Lima Ferreira | 3 | 10 | 3.08 |
| Otilio Paulo da Silva Neto | 4 | 0 | 0.34 |
| Aristofanes C. Silva | 5 | 316 | 36.48 |
| Anselmo C. Paiva | 6 | 379 | 48.88 |
| Marcelo Gattass | 7 | 382 | 48.43 |