File size: 2,337 Bytes
f463d64 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
Dataset Name: LitMedImage – literature-derived Medical vs. Non-Medical Image Dataset
-------------------
Description:
-------------------
LitMedImage is a curated dataset of biomedical literature figures labeled as MEDICAL or NON-MEDICAL. The dataset is built from images extracted from PubMed Central Open Access (PMC-OA) articles and includes corresponding captions and parsed image metadata. Labels were generated using a large language model (LLM) following strict imaging definitions. This dataset is intended for research in figure classification, document parsing, and biomedical vision-language models.
Columns:
PMCID: PubMed Central article identifier (e.g., PMC1234567)
Image_num: Index of the image within the article
Online_file_path: Direct file path to the image under https://ftp.ncbi.nlm.nih.gov/pub/pmc/
Image_info_Cleaned: Parsed metadata describing the image contents
Caption_Clean: Cleaned image caption from the original publication
label: Binary classification label ("yes" for MEDICAL images, "no" for NON-MEDICAL images)
-------------------
Label Definitions:
-------------------
Label = "yes" (MEDICAL)
Images that belong to clinical or biomedical imaging modalities, including:
Radiology, Echocardiography, Dermoscopy, Histopathology, X-ray (Radiography), CT, MRI, Ultrasound, Nuclear Medicine (PET, SPECT, PET-CT, PET-MRI), Optical Imaging, Thermography, Elastography, Mammography, Digital Breast Tomosynthesis, Fluoroscopy, Clinical Imaging
Label = "no" (NON-MEDICAL)
Images that are statistical plots or schematic illustrations, including:
Bar charts, Histograms, Line graphs, Scatter or Bubble plots, Pie or Donut charts, Area charts, Heatmaps, Box or Violin plots, Radar or Spider charts, Treemaps, Network graphs, Drawings, Conceptual diagrams
-------------------
Task Instruction:
-------------------
Given an image, classify whether it is a MEDICAL image or a NON-MEDICAL image.
Data Source:
All images originate from the PubMed Central Open Access Subset via the public FTP archive at:
https://ftp.ncbi.nlm.nih.gov/pub/pmc/
Intended Use:
- Binary image classification (medical vs. non-medical)
- Multimodal image + caption classification
- Figure filtering for automated document processing
- Pre-filtering figures for vision-language model training or inference
Citation:
[To be added] |