Name
Title | ||
|---|---|---|
A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning. |
Abstract | ||
|---|---|---|
Brain tumor is one of the most death defying diseases nowadays. The tumor contains a cluster of abnormal cells grouped around the inner portion of human brain. It affects the brain by squeezing/ damaging healthy tissues. It also amplifies intra cranial pressure and as a result tumor cells growth increases rapidly which may lead to death. It is, therefore desirable to diagnose/ detect brain tumor at an early stage that may increase the patient survival rate. The major objective of this research work is to present a new technique for the detection of tumor. The proposed architecture accurately segments and classifies the benign and malignant tumor cases. Different spatial domain methods are applied to enhance and accurately segment the input images. Moreover Alex and Google networks are utilized for classification in which two score vectors are obtained after the softmax layer. Further, both score vectors are fused and supplied to multiple classifiers along with softmax layer. Evaluation of proposed model is done on top medical image computing and computer-assisted intervention (MICCAI) challenge datasets i.e., multimodal brain tumor segmentation (BRATS) 2013, 2014, 2015, 2016 and ischemic stroke lesion segmentation (ISLES) 2018 respectively. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s10916-019-1453-8 | Journal of Medical Systems |
Keywords | Field | DocType |
Brain tumor detection, Alex network, Google network, Fused score vector, Softmax layer, Segmentation, Classification | Data mining,Softmax function,Pattern recognition,Segmentation,Brain tumor segmentation,Transfer of learning,Stroke,Brain tumor,Human brain,Medical image computing,Artificial intelligence,Medicine | Journal |
Volume | Issue | ISSN |
43 | 11 | 0148-5598 |
Citations | PageRank | References |
3 | 0.40 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Javeria Amin | 1 | 4 | 1.10 |
| Muhammad Sharif | 2 | 317 | 37.96 |
| Mussarat Yasmin | 3 | 120 | 13.29 |
| Tanzila Saba | 4 | 326 | 47.33 |
| Muhammad Almas Anjum | 5 | 19 | 3.49 |
| Steven L. Fernandes | 6 | 314 | 23.39 |