A robust ischemic stroke lesion segmentation technique using two-pathway 3D deep neural network in MR images

[1]  Adesh Kumar,et al.  The role of artificial neural network and machine learning in utilizing spatial information , 2022, Spatial Information Research.

[2]  Adesh Kumar Study and analysis of different segmentation methods for brain tumor MRI application , 2022, Multimedia Tools and Applications.

[3]  Youyi Song,et al.  Mutual gain adaptive network for segmenting brain stroke lesions , 2022, Appl. Soft Comput..

[4]  H. Vural,et al.  Brain stroke classification and segmentation using encoder-decoder based deep convolutional neural networks , 2022, Comput. Biol. Medicine.

[5]  Abhishek Bal,et al.  An efficient brain tumor image classifier by combining multi-pathway cascaded deep neural network and handcrafted features in MR images , 2021, Medical & Biological Engineering & Computing.

[6]  Guohua Liu,et al.  Deep Learning-Based Acute Ischemic Stroke Lesion Segmentation Method on Multimodal MR Images Using a Few Fully Labeled Subjects , 2021, Comput. Math. Methods Medicine.

[7]  Chunlai Li,et al.  Application of Deep Learning Method on Ischemic Stroke Lesion Segmentation , 2021, Journal of Shanghai Jiaotong University (Science).

[8]  Abhishek Bal,et al.  An efficient method for PET image denoising by combining multi-scale transform and non-local means , 2020, Multimedia Tools and Applications.

[9]  A. Oliver,et al.  Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks , 2019, Comput. Biol. Medicine.

[10]  Saeed Hassanpour,et al.  Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network , 2019, NeuroImage: Clinical.

[11]  Abhishek Bal,et al.  An efficient wavelet and curvelet-based PET image denoising technique , 2019, Medical & Biological Engineering & Computing.

[12]  Sébastien Ourselin,et al.  Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation , 2019, Front. Comput. Neurosci..

[13]  Arnau Oliver,et al.  Acute and sub-acute stroke lesion segmentation from multimodal MRI , 2018, Comput. Methods Programs Biomed..

[14]  Liang Chen,et al.  Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks , 2017, NeuroImage: Clinical.

[15]  Konstantinos Kamnitsas,et al.  Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation , 2016, Medical Image Anal..

[16]  Kebin Jia,et al.  Multiscale CNNs for Brain Tumor Segmentation and Diagnosis , 2016, Comput. Math. Methods Medicine.

[17]  Christopher Joseph Pal,et al.  Brain tumor segmentation with Deep Neural Networks , 2015, Medical Image Anal..

[18]  J. Gore,et al.  Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation. , 2014, Magnetic resonance imaging.

[19]  Barry R. Masters,et al.  Digital Image Processing, Third Edition , 2009 .

[20]  et al.,et al.  ISLES 2015 ‐ A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI , 2017, Medical Image Anal..

[21]  Jayaram K. Udupa,et al.  New variants of a method of MRI scale standardization , 2000, IEEE Transactions on Medical Imaging.