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{
    "pk": 27887,
    "title": "Texture as a Diagnostic Signal in Mammograms",
    "subtitle": null,
    "abstract": "Radiologists can discriminate between normal and abnormalbreast tissue at a glance, suggesting that radiologists might beusing some “global signal” of abnormality. Our study inves-tigated whether texture descriptions can be used to character-ize the global signal of abnormality and whether radiologistsuse this information during interpretation. Synthetic imageswere generated using a texture synthesis algorithm trained ontexture descriptions extracted from sections of mammograms.Radiologists completed a task that required rating the abnor-mality of briefly presented tissue sections. When the abnormaltissue had no visible lesion, radiologists seemed to use texturedescriptions; performance was similar across real and synthe-sized tissue sections. However, when the abnormal tissue had avisible lesion, radiologists seemed to rely on additional mech-anisms beyond the texture descriptions; performance increasedfor the real tissue sections. These findings suggest that radiol-ogists can use texture descriptions as global signals of abnor-mality in interpretation of breast tissue.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "texture analysis"
        },
        {
            "word": "medical image perception"
        },
        {
            "word": "visual search"
        },
        {
            "word": "ROC curves"
        },
        {
            "word": "log likelihood ratios"
        }
    ],
    "section": "Publication-based-Talks",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/1hx386sk",
    "frozenauthors": [
        {
            "first_name": "Yelda",
            "middle_name": "",
            "last_name": "Semizer",
            "name_suffix": "",
            "institution": "Rutgers",
            "department": ""
        },
        {
            "first_name": "Melchi",
            "middle_name": "M",
            "last_name": "Michel",
            "name_suffix": "",
            "institution": "Rutgers",
            "department": ""
        },
        {
            "first_name": "Karla",
            "middle_name": "K",
            "last_name": "Evans",
            "name_suffix": "",
            "institution": "University of York",
            "department": ""
        },
        {
            "first_name": "Jeremy",
            "middle_name": "M",
            "last_name": "Wolfe",
            "name_suffix": "",
            "institution": "Harvard",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2018-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27887/galley/17525/download/"
        }
    ]
}