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

April 07, 2020 ยท Entered Twilight ยท ๐Ÿ› International Working Conference on Advanced Visual Interfaces

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Authors Francisco Maria Calisto, Nuno Jardim Nunes, Jacinto Carlos Nascimento arXiv ID 2004.03500 Category cs.HC: Human-Computer Interaction Cross-listed cs.LG, cs.SE, eess.IV Citations 44 Venue International Working Conference on Advanced Visual Interfaces Repository https://github.com/MIMBCD-UI/avi-2020-short-paper โญ 5 Last Checked 1 month ago
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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