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      BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis

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          Abstract

          This paper describes the field research, design and comparative deployment of a multimodal medical imaging user interface for breast screening. The main contributions described here are threefold: 1) The design of an advanced visual interface for multimodal diagnosis of breast cancer (BreastScreening); 2) Insights from the field comparison of single vs multimodality screening of breast cancer diagnosis with 31 clinicians and 566 images, and 3) The visualization of the two main types of breast lesions in the following image modalities: (i) MammoGraphy (MG) in both Craniocaudal (CC) and Mediolateral oblique (MLO) views; (ii) UltraSound (US); and (iii) Magnetic Resonance Imaging (MRI). We summarize our work with recommendations from the radiologists for guiding the future design of medical imaging interfaces.

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          Author and article information

          Journal
          07 April 2020
          Article
          2004.03500
          71ab12fc-52b6-48fa-a95a-3f3027634d48

          http://creativecommons.org/licenses/by-sa/4.0/

          History
          Custom metadata
          68U35 (Primary), 68T45 (Secondary)
          AVI 2020 Short Papers, 5 pages, 2 figures, for associated files, see https://github.com/MIMBCD-UI/avi-2020-short-paper
          cs.HC cs.LG cs.SE eess.IV

          Software engineering,Artificial intelligence,Electrical engineering,Human-computer-interaction

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