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Profil bibliographique

Chenqi Gu

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

6Publications signalées
75Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Pancreatic and Hepatic Oncology ResearchCOVID-19 Clinical Research StudiesOsteoarthritis Treatment and MechanismsSepsis Diagnosis and TreatmentColorectal Cancer Screening and Detection

Les publications récentes

Accès ouvert 2025 article OpenAlex

Development of a radiomics-3D deep learning fusion model for prognostic prediction in pancreatic cancer

Zheng Dou, Chenghao Lu, Xinan Shen, Chenqi Gu et autres

OBJECTIVE: With pancreatic cancer’s dismal prognosis, developing accurate predictive tools is crucial for personalized treatment. This study aims to develop and evaluate a radiomics-3D deep learning fusion model to enhance survival prediction accuracy and explore its potential for clinical risk stratification in …

cn (code pays fourni par la source)

1 citation BMC Cancer
Accès ouvert 2024 article OpenAlex

A few-shot learning framework for the diagnosis of osteopenia and osteoporosis using knee X-ray images

Hua Xie, Chenqi Gu, Wenchao Zhang, Jiacheng Zhu et autres

OBJECTIVE: We developed a few-shot learning (FSL) framework for the diagnosis of osteopenia and osteoporosis in knee X-ray images. METHODS: Computer vision models containing deep convolutional neural networks were fine-tuned to enable generalization from natural images (ImageNet) to chest X-ray images (normal …

cn (code pays fourni par la source)

17 citations Journal of International Medical Research
Accès ouvert 2024 article OpenAlex

Development and validation of deep learning models for bowel obstruction on plain abdominal radiograph

Yao Li, Shiqi Zhu, Yu Wang, Bowei Mao et autres

OBJECTIVE: Artificial intelligence (AI) could help medical practitioners in analyzing radiological images to determine the presence and site of bowel obstruction. This retrospective diagnostic study proposed a series of deep learning (DL) models for diagnosing bowel obstruction on abdominal radiograph. METHODS: A …

cn (code pays fourni par la source)

4 citations Journal of International Medical Research
Accès ouvert 2024 article OpenAlex

Development and validation of a multimodal model in predicting severe acute pancreatitis based on radiomics and deep learning

Minyue Yin, Jiaxi Lin, Yu Wang, Yuanjun Liu et autres

OBJECTIVE: Aim to establish a multimodal model for predicting severe acute pancreatitis (SAP) using machine learning (ML) and deep learning (DL). METHODS: In this multicentre retrospective study, patients diagnosed with acute pancreatitis at admission were enrolled from January 2017 to December 2021. …

cn (code pays fourni par la source)

33 citations International Journal of Medical Informatics
2015 conference-paper OpenAlex

A novel method for derivation of habitat scene of some important wetland ecosystem in China

Y.M. Chen, Gao-han Hu, Chenqi Gu, Zhuoyi Yao

Abstract. A new approach was introduced for derivation of the typical wetland ecological habitat scene (WEHS) in China. The spatial envelope algorithm with the optimal configuration of multi-resolution filters in the spatial-frequency domain was proposed to extract the global semantic features of …

0 citations 2015 ASABE International Meeting

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