Search Results for author: Sai Ho Ling

Found 8 papers, 2 papers with code

DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis

no code implementations12 Jun 2021 Yujiao Wu, Jie Ma, Xiaoshui Huang, Sai Ho Ling, Steven Weidong Su

To improve the survival prediction accuracy and help prognostic decision-making in clinical practice for medical experts, we for the first time propose a multimodal deep learning method for non-small cell lung cancer (NSCLC) survival analysis, named DeepMMSA.

Decision Making Multimodal Deep Learning +2

Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise

no code implementations8 Oct 2020 Zixun Huang, Li-Wen Wang, Frank H. F. Leung, Sunetra Banerjee, De Yang, Timothy Lee, Juan Lyu, Sai Ho Ling, Yong-Ping Zheng

In this paper, we propose a robust bone feature segmentation method based on the U-net structure for ultrasound spine Volume Projection Imaging (VPI) images.


Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization

1 code implementation2 Jan 2019 Miao Zhang, Huiqi Li, Juan Lyu, Sai Ho Ling, Steven Su

In this paper, a non-stationary kernel is proposed which allows the surrogate model to adapt to functions whose smoothness varies with the spatial location of inputs, and a multi-level convolutional neural network (ML-CNN) is built for lung nodule classification whose hyperparameter configuration is optimized by using the proposed non-stationary kernel based Gaussian surrogate model.

Bayesian Optimization Gaussian Processes +3

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