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Related Concept Videos

Anatomical Terminology01:20

Anatomical Terminology

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Knowledge of anatomy is essential to understand human biology and medicine. Anatomists and health care professionals use standard terminology to describe the human body with more precision and no ambiguity. Anatomical terms have mostly Greek and Latin-derived roots. Because these languages are rarely used in conversation, the meaning of words remains the same. Each term is made up of a root in between the prefixes and suffixes. The root of a term often refers to an organ, tissue, or condition,...
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Anatomy of Blood Vessels01:20

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The vascular system, an integral part of the circulatory system, comprises various blood vessels that play crucial roles in maintaining the body's homeostasis. These blood vessels form a complex and efficient circulatory network. The three primary categories of blood vessels are the arteries, veins, and capillaries.
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Classification of Connective Tissues01:30

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The connective tissues have different properties and functions in the human body. They are broadly categorized into proper, supporting, or fluid connective tissues.
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Anatomy of the Brain: Major Regions01:20

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The brain is the most complex organ in the human body. It consists of four main parts: the cerebrum, diencephalon, cerebellum, and brainstem.
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Anatomy of the Brain: Ventricles01:18

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There are hollow fluid-filled cavities known as ventricles deep inside the human brain. There are two lateral ventricles, one in each cerebral hemisphere, and each has three different projections — the anterior, inferior, and posterior horns visible from the lateral side. A thin membrane called the septum pellucidum separates the two lateral ventricles. The slender third ventricle in the diencephalon is connected to each lateral ventricle via a channel called the interventricular foramen.
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Spinal Cord: Cross-sectional Anatomy01:16

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The cross-sectional anatomy of the spinal cord offers a detailed view of its complex structure and function within the central nervous system. At the core of the spinal cord lies the gray matter, characterized by its butterfly or "H"-shaped appearance in cross-section. This central region is enveloped by white matter, with the overall structure divided into symmetrical halves by the dorsal median sulcus and the ventral median fissure.
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Updated: Jan 10, 2026

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
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VisAnatomy: An SVG Chart Corpus with Fine-Grained Semantic Labels.

Chen Chen, Hannah K Bako, Peihong Yu

    IEEE Transactions on Visualization and Computer Graphics
    |November 20, 2025
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    Summary
    This summary is machine-generated.

    VISANATOMY is a new dataset of 942 charts with detailed labels for over 383,000 graphical elements. This resource enhances AI applications by providing fine-grained semantic information for data visualizations.

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    Area of Science:

    • Computer Science
    • Data Visualization
    • Artificial Intelligence

    Background:

    • Existing chart corpora offer limited semantic labels, hindering AI-driven data visualization research.
    • High-level labels in current datasets restrict their use in advanced AI applications.

    Purpose of the Study:

    • Introduce VISANATOMY, a novel corpus of real-world charts with multi-level, fine-grained semantic labels.
    • Provide a comprehensive resource to advance research in data visualization and AI.

    Main Methods:

    • Collected 942 SVG charts from over 50 tools, covering 40 chart types.
    • Annotated charts with detailed labels for over 383,000 graphical elements, including type, role, position, and visual encodings.
    • Developed multi-level hierarchical groupings and layout information for chart components.

    Main Results:

    • VISANATOMY offers significantly richer semantic annotations compared to existing chart corpora.
    • Demonstrated the corpus's utility through applications in semantic role inference, chart decomposition, classification, and accessibility.

    Conclusions:

    • VISANATOMY is a valuable resource for AI-powered data visualization research.
    • The fine-grained labels enable new applications and deeper understanding of chart semantics.
    • Further research can enhance the VISANATOMY corpus and its applications.