Significantly Improving Zero-Shot X-ray Pathology Classification via Fine-tuning Pre-trained Image-Text Encoders

14 December 2022

Papers citing "Significantly Improving Zero-Shot X-ray Pathology Classification via Fine-tuning Pre-trained Image-Text Encoders"

5 / 5 papers shown

Title
A Comprehensive Survey of Foundation Models in Medicine Wasif Khan Seowung Leem Kyle B. See Joshua K. Wong Shaoting Zhang R. Fang AI4CE LM&MA VLM 95 17 0 17 Jan 2025
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering Danfeng Guo Sumitaka Honji LRM 62 0 0 31 Jul 2024
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training Janghyeon Lee Jongsuk Kim Hyounguk Shon Bumsoo Kim Seung Wook Kim Honglak Lee Junmo Kim CLIP VLM 50 51 0 27 Sep 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 63 101 0 18 Jan 2021