Wu-Jun Li

Nanjing University - National Institute of Healthcare Data Science

SCHOLARLY PAPERS

2

DOWNLOADS

95

TOTAL CITATIONS

1

Scholarly Papers (2)

1.

A Deep Learning-Based Segmentation System for Rapid Onsite Cytologic Pathology Evaluation of Pancreatic Masses: A Retrospective, Multicenter, Diagnostic Study

Number of pages: 20 Posted: 04 Jan 2022
Nanjing University of Chinese Medicine (NJUCM), Nanjing University, Nanjing Medical University - Department of Gastroenterology, Nanjing University - Department of Gastroenterology, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Nanjing Medical University - Department of Gastroenterology, Nanjing Medical University - Department of Gastroenterology, affiliation not provided to SSRN, affiliation not provided to SSRN, Nanjing University - National Institute of Healthcare Data Science, affiliation not provided to SSRN, affiliation not provided to SSRN and Nanjing University - Department of Gastroenterology
Downloads 55 (817,423)
Citation 1

Abstract:

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Rapid on-site cytopathology evaluation, EUS-FNA, Deep convolutional neural network, Pancreatic mass

2.

Development of an Artificial Intelligence Model for Individualized FSH Daily Dosage Guidance During Ovulation Stimulation

Number of pages: 20 Posted: 23 Jun 2023
Nanjing University - Center for Reproductive Medicine, Nanjing University - National Key Laboratory for Novel Software Technology, Nanjing University - Center for Reproductive Medicine, Nanjing University - Center for Reproductive Medicine, Nanjing University - Center for Reproductive Medicine, Nanjing University - Center for Reproductive Medicine, Nanjing University - Center for Reproductive Medicine, Nanjing University - Center for Reproductive Medicine, Nanjing University - National Institute of Healthcare Data Science and Nanjing University - Center for Reproductive MedicineNanjing Medical University - State Key Laboratory of Reproductive Medicine
Downloads 40 (944,365)

Abstract:

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FSH, artificial intelligence, deep learning, individualized, GnRHa long protocol