P

Pubmed Clip Vit Base Patch32

Developed by flaviagiammarino
PubMedCLIP is a version of the CLIP model fine-tuned for the medical field, specifically designed to handle medical images and related text.
Downloads 10.27k
Release Time : 6/13/2023

Model Overview

PubMedCLIP is a fine-tuned version of the CLIP model for the medical field, primarily used for medical image classification and visual question answering tasks. It is trained on the ROCO dataset and supports recognition of various medical imaging modalities and human body parts.

Model Features

Medical Domain Specialization
Fine-tuned specifically for the medical field, enabling better handling of medical images and related text.
Multimodal Support
Supports recognition of various medical imaging modalities (such as X-rays, MRI, ultrasound, etc.) and human body parts.
Trained on ROCO Dataset
Trained on the large-scale multimodal medical imaging dataset ROCO, enhancing the model's performance in the medical field.

Model Capabilities

Medical Image Classification
Visual Question Answering
Multimodal Medical Image Processing

Use Cases

Medical Image Analysis
Chest X-ray Identification
Identify and classify abnormalities in chest X-ray images.
Brain MRI Analysis
Analyze brain MRI images to identify potential lesion areas.
Abdominal CT Scan Classification
Classify abdominal CT scan images to identify different anatomical structures or lesions.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase