Work

OCT human liver classification dataset

Year: 2026

Type: dataset

Abstract: This dataset contains sample images of the conventional intensity and polarization-sensitive (PS)-OCT channels from five human liver subjects in the coming paper: "Web-Scale VLM Pretraining Transfers to Medical Imaging Classification Without Language". We currently provide the images from the first subject containin normal and tumor tissue types, the complete datasets can be acquired upon reasonable requests.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21694717

Authors: Cui, Haoyang, Pan, Chongle, Tang, Qinggong, Wang, Chen

Institution: University of Oklahoma

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7171847926

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