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Related Concept Videos

Self Within Cultural Contexts01:30

Self Within Cultural Contexts

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Cultural frameworks for understanding the self are often categorized into two broad orientations: individualism and collectivism. These paradigms influence how people define themselves, relate to others, and interpret their social worlds. Each orientation offers distinct perspectives on autonomy, responsibility, and the role of the individual within a community.Individualistic CulturesIn individualistic cultures like North America and Western Europe, identity is understood as autonomous and...
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Impact of Social Context on Individuals01:21

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Social psychology examines how the real or imagined presence of others influences individuals' thoughts, feelings, and behaviors. A key concept in this field is the role of social context in shaping behavior. The same individual may act differently depending on the social setting, due to the varying expectations and norms associated with each environment. This context-dependent behavior illustrates the influence of social roles, which prescribe appropriate conduct in specific situations.Social...
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For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
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Related Experiment Video

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Preparation and Analysis of Histological Slides of Rat and Mouse Eyeballs to Evaluate the Retina
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Histopathological Whole Slide Image Analysis Using Context-Based CBIR.

Yushan Zheng, Zhiguo Jiang, Haopeng Zhang

    IEEE Transactions on Medical Imaging
    |July 4, 2018
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an automated breast cancer diagnosis framework using whole slide images (WSIs). It combines histopathological image classification and content-based image retrieval for improved accuracy and diagnostic reference.

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    Area of Science:

    • Digital Pathology
    • Computational Pathology
    • Medical Image Analysis

    Background:

    • Histopathological image classification (HIC) and content-based histopathological image retrieval (CBHIR) are key for whole slide image (WSI) analysis.
    • Current CBHIR methods require manual region selection, limiting WSI-wise analysis.

    Purpose of the Study:

    • To develop a novel aided-diagnosis framework for breast cancer using WSIs.
    • To integrate HIC and CBHIR for automated WSI analysis, improving diagnostic support.

    Main Methods:

    • Proposed a framework that automatically performs CBHIR across the entire WSI.
    • Calculated a malignancy probability map based on automated CBHIR results.
    • Recorded retrieval results for each sub-region to aid pathologists.

    Main Results:

    • The developed framework effectively identifies malignant regions in WSIs.
    • Automated CBHIR enables WSI-wise analysis, overcoming manual selection limitations.
    • Validated on annotated breast tumor WSI datasets, demonstrating effectiveness.

    Conclusions:

    • The proposed framework enhances breast cancer diagnosis by combining HIC and automated CBHIR.
    • Provides pathologists with valuable diagnostic references and highlights high-risk regions.
    • Offers an effective solution for automated analysis of histopathological WSIs.