Automated Ultrasound Diagnosis via CLIP-GPT Synergy: A Multimodal Framework for Image Classification and Report Generation

Automated Ultrasound Diagnosis via CLIP-GPT Synergy: A Multimodal Framework for Image Classification and Report Generation

As a crucial non-invasive imaging modality in clinical diagnosis, ultrasound interpretation faces challenges of subjectivity and inefficiency. To address the limitations of traditional single-modal deep learning models in cross-modal alignment and structured text generation, this study proposes an i...

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Bibliographic Details
Main Authors: Li Yan, Xiaodong Zhou, Yaotian Wang, Xuan Chang, Qing Li, Gang Han
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Ultrasound image analysis
CLIP-GPT joint framework
cross-modal semantic alignment
structured report generation
contrastive learning
generative pre-training
Online Access:https://ieeexplore.ieee.org/document/11029188/
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https://ieeexplore.ieee.org/document/11029188/

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