Chenrong Li

ORCID: 0000-0003-4555-9679
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About
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Research Areas
  • Endometrial and Cervical Cancer Treatments
  • Urological Disorders and Treatments
  • Lung Cancer Diagnosis and Treatment
  • Grey System Theory Applications
  • Uterine Myomas and Treatments
  • AI in cancer detection
  • Pelvic and Acetabular Injuries
  • Image Retrieval and Classification Techniques
  • Electronic and Structural Properties of Oxides
  • Pelvic floor disorders treatments
  • Medical Imaging and Pathology Studies
  • High-pressure geophysics and materials
  • Colorectal Cancer Screening and Detection
  • Tracheal and airway disorders
  • Environmental Impact and Sustainability
  • Endometriosis Research and Treatment
  • Radiomics and Machine Learning in Medical Imaging
  • Diamond and Carbon-based Materials Research
  • MRI in cancer diagnosis
  • Regional Economic and Spatial Analysis

First People's Hospital of Yunnan Province
2024

Kunming University of Science and Technology
2017-2024

Dalian University of Technology
2022

Background Whole Slide Image (WSI) analysis, driven by deep learning algorithms, has the potential to revolutionize tumor detection, classification, and treatment response prediction. However, challenges persist, such as limited model generalizability across various cancer types, labor-intensive nature of patch-level annotation, necessity integrating multi-magnification information attain a comprehensive understanding pathological patterns. Methods In these challenges, we introduce MAMILNet,...

10.3389/fonc.2024.1275769 article EN cc-by Frontiers in Oncology 2024-04-30

Under ultraviolet (UV) excitation with photon energy larger than 4.5 eV, a charge-state conversion from negatively to neutrally charged nitrogen-vacancy (NV− NV0) centers in diamond samples is realized. The UV-induced found strongly depend on the N concentration sample and irradiation fluence of electron beam. For high concentrations, low-fluence (2.5 × 1017 cm−2) 10-MeV beam usually leads efficiency higher that irradiated fluences (≥2.5 1018 cm−2). few ppm N, however, relatively low cases...

10.1063/5.0125286 article EN Journal of Applied Physics 2022-12-01

Uterine prolapse has become one of the most common chronic diseases affecting women's health and quality life. Early detection intervention would be important factors to delay progress uterine prolapse. In this study, high-resolution magnetic resonance imaging(HR-MRI) pelvic floor combined with radiomics was used investigate degree It found that HR-MRI can as an effective evaluation method, nomogram best diagnostic efficacy for predicting

10.58530/2023/1661 article EN Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition 2024-08-14

The CGE model of Yunnan's macro economy was constructed based on the input-output data Yunnan in 2012, and development trend non-ferrous metals industry (NMI) under China's new normal simulated. In view this, according to different expected economic growth, optimized structure, impact NMI results show that growth rate is decline when a downward trend, but change proportion relatively small. Moreover, structure adjusted realize optimization, while GDP will decline. contrast, biggest influence...

10.1088/1755-1315/81/1/012088 article EN IOP Conference Series Earth and Environmental Science 2017-08-01
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