4 citations · 7 across the 3 of their papers we have counts for
3 papers
Roughness Index and Roughness Distance for Benchmarking Medical Segmentation
Vidhiwar Singh Rathour, Kashu Yamakazi, T. Hoang Ngan Le
Medical image segmentation is one of the most challenging tasks in medical image analysis and has been widely developed for many clinical applications. Most of the existing metrics…
Invertible Residual Network with Regularization for Effective Medical Image Segmentation
Kashu Yamazaki, Vidhiwar Singh Rathour, T. Hoang Ngan Le
Deep Convolutional Neural Networks (CNNs) i.e. Residual Networks (ResNets) have been used successfully for many computer vision tasks, but are difficult to scale to 3D volumetric m…
Offset Curves Loss for Imbalanced Problem in Medical Segmentation
Ngan Le, Trung Le, Kashu Yamazaki +3
Medical image segmentation has played an important role in medical analysis and widely developed for many clinical applications. Deep learning-based approaches have achieved high p…