Brain tumor localization and segmentation using mask RCNN
Momina MASOOD, Tahira NAZIR, Marriam NAWAZ, Ali JAVED, Munwar IQBAL, Awais MEHMOOD
Brain tumor localization and segmentation using mask RCNN
[1] |
Qasem S N, Nazar A, Attia Qamar S. A learning based brain tumor detection system. CMC-Computers Materials & Continua, 2019, 59(3): 713–727
CrossRef
Google scholar
|
[2] |
Rehman A, Naz S, Naseem U, Razzak I, Hameed I A. Deep autoencoderdecoder framework for semantic segmentation of brain tumor. Australian Journal of Intelligent Information Processing Systems, 2019, 15(4): 53
|
[3] |
Sobhaninia Z, Rezaei S, Noroozi A, Ahmadi M, Zarrabi H, Karimi N, Emami A, Samavi S. Brain tumor segmentation using deep learning by type specific sorting of images. 2018, arXiv preprint arXiv:1809.07786
|
[4] |
Rayhan F. FR-MRInet: a deep convolutional encoder-decoder for brain tumor segmentation with relu-RGB and sliding-window. International Journal of Computer Applications, 2018, 975: 8887
|
[5] |
He K, Gkioxari G, Dollár P, Girshick R B. Mask R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision.. 2017, 2980–2988
CrossRef
Google scholar
|
[6] |
Cheng J, Huang W, Cao S, Yang R, Yang W, Yun Z,Wang Z, Feng Q. Enhanced performance of brain tumor classification via tumor region augmentation and partition. PLoS ONE, 2015, 10(10): e0140381
CrossRef
Google scholar
|
[7] |
Çinar A, Yıldırım M. Detection of tumors on brain MRI images using the hybrid convolutional neural network architecture. Medical Hypotheses, 2020, 139: 109684
CrossRef
Google scholar
|
/
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