Li Chenghang (李承行)
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Mphil Student |
About me
I received the B.E. degree from the Sichuan University, in 2015, and the M.E. degree from Sun Yat-sen University, in 2019. I am currently an Mphil student at The Hong Kong University of Science and Technology (Guangzhou), China, and will graduate soon in October.
As a dedicated professional in the field of Medical AI, I am committed to leveraging advanced technologies to address colorectal cancer precison oncology challenges.
Research
Research interests
Radiology Image Analysis
Computational Pathology
Deep Learning
Multimodal Foundation Model
Working papers
Survival prediction for colorectal cancer with preoperative CT images and clinical intervention.
Nuclei segmentation and classification for Pathology images with lighter and faster vit-based model.
Semantic segmentation of tumor tissues for Whole-slide images cancer early detection.
Modality convention from CT to MRI of colorectal cancer for accurately tumor stage prediction.
Under review
J. Chen, C. Liu, R. Yu, C.H Li, Y. She, F. Gao*, Y. Cao, "Clinically Acceptable Thresholds of Landmark Detection Errors in Cone Beam Computed Tomography (CBCT): A Quantitative Analysis of Their Impact on Three-Dimensional Cephalometric Measurements". American Journal of Orthodontics & Dentofacial Orthopedics
D. Cai, J. Wang*, C. Li*, M. Nijiati*, A. Tuersun, M.Y Lv, C. Hu, B. Gai, J. Lei, M. Mai, X. Wu, Z. Zhang, F. Gao, "Deep Learning for Predicting Recurrence and Treatment Response of Colorectal Cancer with Preoperative CT Images". eClinicalMedicine
D. Liu, S.-Z Luo, D. Cai, C. Hu, H. Hou, B. Yang, P. Hu, J. Liu, X. Zhou, M. Lei, G. Xu, H. Luo, C.H Li, B. Gai, M.-Y Lv, J. Lei, X. Liu, J. Ke, Y. Liang, H. Lu, X. Jin, X. Xu, J. Wang, S. Liu, H. Yang, P. Lan, F. Gao, S. Zhu, X. Wu, K. Wu, "Comprehensive multi-omics atlas dissecting the mutational complexity and prognostic signatures in colorectal cancers". Nature
Recent publications
J.-X Lei, R. Wang, C. Hu, M.-Y Lv, C. Li, B. Gai, X.-J Wu, R. Dou, D. Cai, F. Gao, "Deciphering tertiary lymphoid structure heterogeneity reveals prognostic signature and therapeutic potentials for colorectal cancer: a multicenter retrospective cohort study [J].", International Journal of Surgery, Jun. 2024. (Q1, IF = 6.0) [link]
W. Lou, X. Wan, G. Li, X. Lou, C. Li, F. Gao, H. Li, "Structure embedded nucleus classification for histopathology images [J]", IEEE Transactions on Medical Imaging [J]. Apr. 2024. (Q1, IF = 10.6)[link]
M.-Y Lv†, D. Cai†, C. Li†, and J. Chen, G. Li, C. Hu, B. Gai, J. Lei, P. Lan, X. Wu, X. He, F. Gao, "Senescence-based colorectal cancer subtyping reveals distinct molecular characteristics and therapeutic strategies [J].", MedComm, 2023. [link].
C.-H Li, D. Cai, M.-E Zhong, M.-Y Lv, Z.-P Huang, Q. Zhu, C. Hu, H. Qi, X. Wu, F. Gao", Multi-Size Deep Learning Based Preoperative Computed Tomography Signature for Prognosis Prediction of Colorectal Cancer [J].", Frontier in Genetics, Jun. 2022. (Q2, IF = 3.7) [link]
C.-C Wang, H.-B Yin, S.-J Bai, R. Zhang, C.-H Li, M.-Z Tang, Y.-X Xu, "Probe the terminal interactions and their synergistic effects on polyisoprene properties by mimicking the structure of natural rubber [J].", Polymer, 2019. (Q1, IF = 4.6) [link]
F. Gao, C. Li, X. Wang, X.-Y Lou, "Cell classification model, data sample labeling method and cell classification method: CN, CN114299028A[P]", 2022. [pdf]
Projects
Comprehensive analyses of Computational Pathology, 04.2023-Present
Whole-slide image preprocessing & Multilevel analysis for cancer diagnosis and clinical treatment
Semantic segmentation of Tumor related Pathology tissue images
Cell-level nuclei segmentation and classification for Pathology tissue image
Assisted Segmentation of Tumor Cells in Pathology, 03.2023-09.2023
Pathology images tiling and tumor labeling. (Finish 4 private datasets by pathologist)
Developed segmentation deep learning model for assistant of Pathologist
International Entrepreneurship Competition of HKUST One Million Dollar, Guangzhou 2023
Multi-Omics Chinese Colorectal Cancer Cohort Analysis, 09.2021-06.2023
Build SGE computing cluster with over 2000 cores & Assist in deploying PB-level large Beegfs Storage
Assist in processing PB-level gene sequencing data (RNAseq, WGS, WGBS)
Multimodal Colorectal Cancer data Matching and Cleaning, 1000 Sequencing data, over 9k private pathology images and over 15k radiology imaging data
Radiology analysis for preoperative prognosis,
Assist in building a big data platform for radiology image and computer cluster for the Sixth Affiliated Hospital of SYSU
Radiology image analysis including radiomic and deep learning methods for recurrence risk prediction of Colorectal Cancer patients for clinical assistant decision-making
Education
M.E., Computer Science and Technology, Sun Yat-sen University, 09.2019 - 08.2022
Main Courses: Foundation of Computer Science and Technology, Numerical Analysis, Digital Image Processing, Artificial Intelligence and Pattern Recognition.
B.E., Polymer Materials and Engineering, Sichuan University, 09.2015 - 06.2019
Main Courses: Linear Algebra, Calculus, Probability Statistics, Polymer Chemistry, Polymer Physics
INTERNSHIP experience
Colonoscopy polyp detection and segmentation, MicroPort - SenseTime medical program, Shanghai, 12.2021 - 06.2022
Endoscopic image collection and organization for polyp labeling. (A dataset with over 5k private coloscopy images)
Design the detection and segmentation model based on ResUNet++ framework and evaluation on external validation cohort of the Sixth Affiliated Hospital of Sun Yat-sen University
High Performance Computing cluster building and maintenance, Bioland Lab, Guangzhou, 12.2020 - 12.2021
Building the computing clusters - system installation, networks configuration, creating job sketching system
Optimizing server performance and solving the emergencies.
Genomic analysis of Colorectal Cancer, BGI Genomics, Shenzhen, 04.2020 - 09.2020
Align the whole genomic sequencing reads to the reference human genome
Integrate genetic data with clinical and phenotypic information to identify genotype-phenotype correlations
Clinical pathway analysis, The sixth affiliated hospital of Sun Yat-sen University, Guangzhou, 07.2019 - 08.2019
Learning to visualize pathway graphs in R
Completing differential pathway analysis for stage II/III Colorectal cancer