CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography | ScienceToStartup | ScienceToStartup

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References (28)

[1]

Adversarial prompt and fine-tuning attacks threaten medical large language models

2025Yifan Yang, Qiao Jin et al.

[2]

One Year On: Assessing Progress of Multimodal Large Language Model Performance on RSNA 2024 Case of the Day Questions.

2025Benjamin Hou, Pritam Mukherjee et al.

[3]

How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses

Founder's Pitch

"CT-Bench provides a comprehensive benchmark dataset for advancing AI-driven lesion analysis in CT scans."

Medical AI•Score: 5•View PDF ↗

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CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography

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References (28)

Founder's Pitch

"CT-Bench provides a comprehensive benchmark dataset for advancing AI-driven lesion analysis in CT scans."

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CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography

BUILDER'S SANDBOX

Build This Paper

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References (28)

Founder's Pitch

"CT-Bench provides a comprehensive benchmark dataset for advancing AI-driven lesion analysis in CT scans."

Commercial Viability Breakdown

Related Papers

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