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Research paper

3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models

Medical image analysis is crucial in modern radiological diagnostics, especially given the exponential growth in medical imaging data. The demand for automated report generation systems has become increasingly urgent. While prior research has mainly focused on using machine learning and multimodal language models for 2D medical images, the generation of reports for 3D medical images has been less explored due to data scarcity and computational complexities. This paper introduces 3D-CT-GPT, a Visual Question Answering (VQA)-based medical visual language model specifically designed for generating radiology reports from 3D CT scans, particularly

Chen, Hao, Zhao, Wei, Li, Yingli, Zhong, Tianyang, Wang, Yisong, Shang, Youlan, Guo, Lei, Han, Junwei, Liu, Tianming, Liu, Jun, Zhang, Tuo
Creative Commons Attribution Share Alike 4.0 InternationalView resource
Research paper

3D-GPT: Procedural 3D Modeling with Large Language Models

Research paper by Chunyi Sun and collaborators. Published 2023-10-19. Topics: large language models (LLMs), instruction-driven 3D modeling, task dispatch agent, conceptualization agent, modeling agent.

Chunyi Sun, Junlin Han, Weijian Deng, Xinlong Wang, Zishan Qin, Stephen Gould
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