MacRad: Radiology Image Resource with a Case-Based Retrieval System

By R. Macura, K. Macura. 1995

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Cynthia Rudin
2. Alina Jade Barnett
3. Fides Regina Schwartz
4. Chaofan Tao
5. I. Bichindaritz
6. Yinhao Ren
7. Joseph Y. Lo
8. C. Marling

Citations in the corpus

• A case-based interpretable deep learning model for classification of mass lesions in digital mammography (2021, background): “Case-based reasoning models in medicine retrieve existing similar cases in order to determine how to handle a new case [14, 34, 20, 28].”
• Cased-Based Reasoning for medical knowledge-based systems (2001, background): “by clustering cases into prototypes and removing redundant ones, or by restricting the case base to a fixed number of cases and updating it during expert consultation sessions [8].”
• Case-based reasoning in the health sciences: What's next? (2006, background): “– MEDIC diagnoses pulmonary disease [40] – ALEXIA determines a patient's hypertension etiology [10] – FLORENCE assists with nursing diagnosis, prognosis, and prescription [11] – ROENTGEN helps to design radiation therapy plans [4] – MacRad helps to interpret radiological images [26]”