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# Medical Imaging Analysis
Genmedclip B 16 PMB
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A zero-shot image classification model based on the open_clip library, specializing in medical field image analysis
Image Classification
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wisdomik
408
0
Medcsp Clip
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A zero-shot medical image classification model based on the CLIP architecture
Text-to-Image
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xcwangpsu
91
1
Chexagent 2 3b
CheXagent is a foundational model focused on chest X-ray interpretation, designed to assist in medical imaging analysis.
Image-to-Text
Transformers Other
Transformers OtherC
StanfordAIMI
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Radphi 2
CheXagent is a foundational model focused on chest X-ray interpretation, aiming to improve the accuracy and efficiency of medical imaging analysis.
Image-to-Text Transformers Other
Transformers OtherR
StanfordAIMI
57
1
Xraysiglip Vit L 16 Siglip 384 Webli
CheXagent is a foundation model for chest X-ray interpretation, capable of automatically analyzing and interpreting chest X-rays.
Image Classification Transformers
TransformersX
StanfordAIMI
30.17k
0
Xrayclip Vit B 16 Siglip 512 Webli
CheXagent is a foundational model focused on chest X-ray interpretation, aiming to enhance the accuracy and efficiency of medical imaging analysis through advanced AI technology.
Image Classification Transformers
TransformersX
StanfordAIMI
748
0
Xraysiglip Vit B 16 Siglip 512 Webli
CheXagent is a foundation model focused on chest X-ray interpretation, aiming to enhance the accuracy and efficiency of medical imaging analysis through advanced vision-language processing technology.
Image Classification Transformers
TransformersX
StanfordAIMI
205
0
Xrayclip Vit L 14 Laion2b S32b B82k
CheXagent is a foundation model specifically designed for chest X-ray interpretation, capable of automatically analyzing and interpreting chest X-ray images.
Image-to-Text Transformers
TransformersX
StanfordAIMI
975
0
Xrayclip Vit B 16 Laion2b S34b B88k
CheXagent is a foundation model specifically designed for chest X-ray interpretation, aiming to assist medical imaging analysis through advanced artificial intelligence technology.
Image-to-Text Transformers
TransformersX
StanfordAIMI
47.09k
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Vit Mlo 512 Breat Composition
This is a medical image classification model based on the ViT architecture, specifically designed for breast composition analysis, fine-tuned on the preprocessed 1024 configuration dataset.
Image Classification Transformers
TransformersV
mm-ai
35
0
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