Search Results for author: Fuyong Xing

Found 8 papers, 1 papers with code

Self-paced Resistance Learning against Overfitting on Noisy Labels

1 code implementation7 May 2021 Xiaoshuang Shi, Zhenhua Guo, Fuyong Xing, Yun Liang, Xiaofeng Zhu

They might significantly deteriorate the performance of convolutional neural networks (CNNs), because CNNs are easily overfitted on corrupted labels.

Cluster Activation Mapping with Applications to Medical Imaging

no code implementations9 Oct 2020 Sarah Ryan, Nichole Carlson, Harris Butler, Tasha Fingerlin, Lisa Maier, Fuyong Xing

An open question in deep clustering is how to understand what in the image is creating the cluster assignments.

Decision Making Deep Clustering

Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning

no code implementations30 Mar 2018 Jinzheng Cai, Le Lu, Fuyong Xing, Lin Yang

Automatic pancreas segmentation in radiology images, eg., computed tomography (CT) and magnetic resonance imaging (MRI), is frequently required by computer-aided screening, diagnosis, and quantitative assessment.

Computed Tomography (CT) Pancreas Segmentation

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection

no code implementations24 Aug 2017 Zizhao Zhang, Fuyong Xing, Hai Su, Xiaoshuang Shi, Lin Yang

Then we review their recent applications in medical image analysis and point out limitations, with the goal to light some potential directions in medical image analysis.

Contour Detection

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

no code implementations16 Jul 2017 Jinzheng Cai, Le Lu, Yuanpu Xie, Fuyong Xing, Lin Yang

The output layer of this network module is then connected to recurrent layers and can be fine-tuned for contextual learning, in an end-to-end manner.

Pancreas Segmentation

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

no code implementations CVPR 2017 Zizhao Zhang, Yuanpu Xie, Fuyong Xing, Mason McGough, Lin Yang

In this paper, we propose MDNet to establish a direct multimodal mapping between medical images and diagnostic reports that can read images, generate diagnostic reports, retrieve images by symptom descriptions, and visualize attention, to provide justifications of the network diagnosis process.

Language Modelling

SemiContour: A Semi-supervised Learning Approach for Contour Detection

no code implementations CVPR 2016 Zizhao Zhang, Fuyong Xing, Xiaoshuang Shi, Lin Yang

In this paper, we investigate the usage of semi-supervised learning (SSL) to obtain competitive detection accuracy with very limited training data (three labeled images).

BSDS500 Contour Detection +1

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