BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
April 07, 2020 ยท Entered Twilight ยท ๐ 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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