Search Results for author: T. Hoang Ngan Le

Found 7 papers, 1 papers with code

Roughness Index and Roughness Distance for Benchmarking Medical Segmentation

2 code implementations23 Mar 2021 Vidhiwar Singh Rathour, Kashu Yamakazi, T. Hoang Ngan Le

We then propose an appropriate roughness index and roughness distance for medical image segmentation analysis and evaluation.

Image Segmentation Medical Image Segmentation +1

Invertible Residual Network with Regularization for Effective Medical Image Segmentation

no code implementations16 Mar 2021 Kashu Yamazaki, Vidhiwar Singh Rathour, T. Hoang Ngan Le

Among many successful network architectures, 3D Unet has been established as a standard architecture for volumetric medical segmentation.

Image Segmentation Medical Image Segmentation +1

Deep Recurrent Level Set for Segmenting Brain Tumors

no code implementations10 Oct 2018 T. Hoang Ngan Le, Raajitha Gummadi, Marios Savvides

In each step, the Convolutional Layer is fed with the LevelSet map to obtain a brain tumor feature map.

Brain Tumor Segmentation Tumor Segmentation

Deep Contextual Recurrent Residual Networks for Scene Labeling

no code implementations12 Apr 2017 T. Hoang Ngan Le, Chi Nhan Duong, Ligong Han, Khoa Luu, Marios Savvides, Dipan Pal

Designed as extremely deep architectures, deep residual networks which provide a rich visual representation and offer robust convergence behaviors have recently achieved exceptional performance in numerous computer vision problems.

Representation Learning Scene Labeling

Towards a Deep Learning Framework for Unconstrained Face Detection

no code implementations16 Dec 2016 Yutong Zheng, Chenchen Zhu, Khoa Luu, Chandrasekhar Bhagavatula, T. Hoang Ngan Le, Marios Savvides

Robust face detection is one of the most important pre-processing steps to support facial expression analysis, facial landmarking, face recognition, pose estimation, building of 3D facial models, etc.

Face Detection Face Recognition +2

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