GoodBaiBai88
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M3D-CLIP

Image Feature Extraction

feature-extraction

3D medical CLIP

Image-text retrieval

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GoodBaiBai88 commited on Apr 29

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@@ -12,6 +12,7 @@ M3D-CLIP is one of the works in the [M3D](https://github.com/BAAI-DCAI/M3D) seri
 It is a 3D medical CLIP model that aligns vision and language through contrastive loss on the [M3D-Cap](https://huggingface.co/datasets/GoodBaiBai88/M3D-Cap) dataset.
 The vision encoder uses 3D ViT with 32\*256\*256 image size and 4\*16\*16 patch size.
 The language encoder utilizes a pre-trained BERT as initialization.
 The uses of M3D-CLIP:
 1. 3D medical image and text retrieval task.
 2. Aligned and powerful image and text features for downstream tasks.

 It is a 3D medical CLIP model that aligns vision and language through contrastive loss on the [M3D-Cap](https://huggingface.co/datasets/GoodBaiBai88/M3D-Cap) dataset.
 The vision encoder uses 3D ViT with 32\*256\*256 image size and 4\*16\*16 patch size.
 The language encoder utilizes a pre-trained BERT as initialization.
 The uses of M3D-CLIP:
 1. 3D medical image and text retrieval task.
 2. Aligned and powerful image and text features for downstream tasks.