GPT-4V exhibits human-like performance in biomedical image classification

Hou, W.; Ji, Z.

doi:10.1101/2023.12.31.573796

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bioRxiv · 10.1101/2023.12.31.573796

GPT-4V exhibits human-like performance in biomedical image classification

Hou, W.·Ji, Z.

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Abstract

Image classification plays a pivotal role in analyzing biomedical images, serving as a cornerstone for both biological research and clinical diagnostics. We demonstrate that large multimodal models (LMMs), like GPT-4, excel in one-shot learning, generalization, interpretability, and text-driven image classification across diverse biomedical tasks. These tasks include the classification of tissues, cell types, cellular states, and disease status. LMMs stand out from traditional single-modal classification approaches, which often require large training datasets and offer limited interpretability.

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Hou, W., Ji, Z.. 2024-01-01. GPT-4V exhibits human-like performance in biomedical image classification. https://doi.org/10.1101/2023.12.31.573796

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