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Fine-tuned T5-base model for medical report summarization: outperforming extractive methods and the pre-trained Gemini 2.0 flash language model

Year: 2026

Type: conference-paper

Source: IET conference proceedings.

DOI: 10.1049/icp.2025.4750

Authors: Sakshi M. Surve, Vivek Sathe, Kumkum Saxena

Institutions: Shri Jagdishprasad Jhabarmal Tibrewala University, Georgia Institute of Technology, University of Mumbai

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7127724439

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