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--- | ||
layout: project | ||
type: project | ||
image: images/arianna/miccai_poster.jpg | ||
title: "Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound" | ||
date: 2024-10-26 | ||
display-date: 2024 | ||
published: true | ||
labels: | ||
- Oral | ||
- Poster | ||
- Breast Cancer | ||
- AI | ||
summary: "I presented my work in an oral and poster on concept-bottleneck models using existing radiological ontologies in the main session of MICCAI 2024." | ||
--- | ||
{% include captioned-image.html image="arianna/poster_9-10-24.svg" caption="I presented this work in an oral and poster presentation during the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention. In this work we showed that using existing clinical concepts for explainable breast cancer detection performs on par with unexplainable approaches, when clinical intervention is permitted. " %} | ||
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Full-size poster can be found <a href = "../resources/miccai_poster_9-10-24.pdf">here</a>. <br/> | ||
Slides can be found <a href = "../resources/miccai_slides.pdf">here</a>. |
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