Search Results for author: Shouliang Qi

Found 8 papers, 3 papers with code

An attention-based deep learning network for predicting Platinum resistance in ovarian cancer

no code implementations8 Nov 2023 Haoming Zhuang, Beibei Li, Jingtong Ma, Patrice Monkam, Shouliang Qi, Wei Qian, Dianning He

Multimodal data from PET/CT images of the regions of interest (ROI) were used to predict platinum resistance in patients.

Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images

1 code implementation15 Dec 2022 Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren

In the first stage, the total airway mask and CT images are provided to the subnetwork, and the intrapulmonary airway mask and corresponding CT scans to the subnetwork in the second stage.

Computed Tomography (CT) Segmentation

Subspace Nonnegative Matrix Factorization for Feature Representation

1 code implementation18 Apr 2022 Junhang Li, Jiao Wei, Can Tong, Tingting Shen, Yuchen Liu, Chen Li, Shouliang Qi, YuDong Yao, Yueyang Teng

Traditional nonnegative matrix factorization (NMF) learns a new feature representation on the whole data space, which means treating all features equally.

Improving the Level of Autism Discrimination through GraphRNN Link Prediction

no code implementations19 Feb 2022 Haonan Sun, Qiang He, Shouliang Qi, YuDong Yao, Yueyang Teng

This paper is based on the latter technique, which learns the edge distribution of real brain network through GraphRNN, and generates the synthetic data which has incentive effect on the discriminant model.

feature selection Link Prediction

An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation

1 code implementation27 Nov 2021 Jiao Wei, Can Tong, Bingxue Wu, Qiang He, Shouliang Qi, YuDong Yao, Yueyang Teng

Nonnegative matrix factorization (NMF) has been widely used to learn low-dimensional representations of data.

Attribute

EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation

no code implementations11 Oct 2021 Hechen Yang, Chen Li, Xin Zhao, Bencheng Cai, Jiawei Zhang, Pingli Ma, Peng Zhao, Ao Chen, Hongzan Sun, Yueyang Teng, Shouliang Qi, Tao Jiang, Marcin Grzegorzek

The Environmental Microorganism Image Dataset Seventh Version (EMDS-7) is a microscopic image data set, including the original Environmental Microorganism images (EMs) and the corresponding object labeling files in ". XML" format file.

Object object-detection +1

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