Developing an explainable diagnosis system utilizing deep learning model: a case study of spontaneous pneumothorax

The trend in the medical field is towards intelligent detection-based medical diagnostic systems. However, these methods are often seen as "black boxes" due to their lack of interpretability. This situation presents challenges in identifying reasons for misdiagnoses and improving accuracy,...

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Veröffentlicht in:	Physics in medicine & biology 2024-07, Vol.69 (14), p.145017
Hauptverfasser:	Lin, Frank Cheau-Feng, Wei, Chia-Jung, Bai, Zhe-Rui, Chang, Chi-Chang, Chiu, Ming-Chuan
Format:	Artikel
Sprache:	eng
Schlagworte:	computer aided diagnosis explainable artificial intelligence (XAI) primary spontaneous pneumothorax vascular-penetration defects
Online-Zugang:	Volltext
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