Work

Parameter identification for the stochastic ductal carcinoma in situ model with free boundary conditions

Year: 2025

Type: article

Source: Journal of Inverse and Ill-Posed Problems

DOI: 10.1515/jiip-2022-0052

Authors: Meibao Ge, Dinghua Xu

Institutions: Shanghai University of Finance and Economics, Hangzhou Medical College, Zhejiang Sci-Tech University

Language: English

Topic: Mathematical Biology Tumor Growth

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Shanghai University of Finance and Economics, Department of Education of Zhejiang Province

Awards: G3847978577, G5279774765, G5585017644, G7441754267, G7659502971

OpenAlex ID: W4414319145

FWCI:

Cites: 28

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