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MSB Online Seminar: Peri-diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time

Titel: Peri-diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time

Sprecher:  Gerome Vivar,  GCB Doktorand am Lehrstuhl Computer Aided Medical Procedures (Navab) 

Datum und Uhrzeit: Dienstag, 2. Februar 2021, 13:00 Uhr

Abstract: Computer-aided diagnosis (CADx) algorithms in medicine provide patient-specific decision support for physicians. These algorithms are usually applied after full acquisition of high-dimensional multimodal examination data, and often assume feature-completeness. This, however, is rarely the case due to examination costs, invasiveness, or a lack of indication. A sub-problem in CADx, which to our knowledge has received very little attention among the CADx community so far, is to guide the physician during the entire peri-diagnostic workflow, including the acquisition stage. We model the following question, asked from a physician’s perspective: “Given the evidence collected so far, which examination should I perform next, in order to achieve the most accurate and efficient diagnostic prediction?”. In this work, we propose a novel approach which is enticingly simple: use dropout at the input layer, and integrated gradients of the trained network at test-time to attribute feature importance dynamically. We validate and explain the effectiveness of our proposed approach using two public medical and two synthetic datasets. Results show that our proposed approach is more cost- and feature-efficient than prior approaches and achieves a higher overall accuracy. This directly translates to less unnecessary examinations for patients, and a quicker, less costly and more accurate decision support for the physician.
 

Weitere Informationen

Das MSB-Seminar wird in diesem Semester online (Zoom) stattfinden. Wenn Sie an dem Vortrag interessiert sind, können Sie sich per Email (julia.knuerr(at)tum.de) anmelden. Die Zugangsdaten werden Ihnen dann zugeschickt.
 

Weitere Termine im Wintersemester 2020/2021

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