Saliency U-Net: A regional saliency map-driven hybrid deep learning network for anomaly segmentation
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[1] Bhavna Sharma,et al. Automatic Segmentation of Brain CT scan Image to Identify Hemorrhages , 2012 .
[2] Li Cheng,et al. Finding Distinctive Shape Features for Automatic Hematoma Classification in Head CT Images from Traumatic Brain Injuries , 2013, 2013 IEEE 25th International Conference on Tools with Artificial Intelligence.
[3] M. L. Dewal,et al. Intracranial hemorrhage detection using spatial fuzzy c-mean and region-based active contour on brain CT imaging , 2012, Signal, Image and Video Processing.
[4] Alexander C. Berg,et al. Combining multiple sources of knowledge in deep CNNs for action recognition , 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[5] Qi Tian,et al. Classification of CT Brain Images of Head Trauma , 2007, PRIB.
[6] Jau-Min Wong,et al. A Knowledge Discovery Approach to Diagnosing Intracranial Hematomas on Brain CT: Recognition, Measurement and Classification , 2008, ICMB.
[7] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[8] Tanveer F. Syeda-Mahmood,et al. Automatic detection of left ventricular aneurysms in echocardiograms , 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).
[9] Hossein Pourghassem,et al. Automatic brain hemorrhage segmentation and classification in CT scan images , 2013, 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP).
[10] Jau-Min Wong,et al. Computerized Medical Imaging and Graphics a Multiresolution Binary Level Set Method and Its Application to Intracranial Hematoma Segmentation , 2022 .
[11] Giovanni Montana,et al. Deep neural networks for anatomical brain segmentation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).