DICE Score vs Radiologist - Visual quantification of Virtual Diffusion Sequences – pitfalls of lesion segmentation-based approach as compared to clinical relevance-based qualitative assessment

Congress:

ECR 2020

Poster Number:

C-06645

Type:

Scientific Exhibit

Keywords:

Artificial Intelligence and Machine Learning, Artificial Intelligence, MR, Computer Applications-Detection, diagnosis, Computer Applications-Virtual imaging, Ischaemia / Infarction, Retrospective, Observational, Performed at one institution

Authors:

V. Venugopal¹, V. Mahajan¹, A. Venkatraman², A. Upadhyaya², S. RAJAN¹, H. Mahajan ¹; ¹New Delhi/IN, ²Bangalore/IN

DOI:

10.26044/ecr2020/C-06645

DOI-Link:

https://dx.doi.org/10.26044/ecr2020/C-06645

Personal information and conflict of interest

V. K. Venugopal; New Delhi/IN - Other at Research collaboration, General Electric Company Research collaboration, Koninklijke Philips NV Research collaboration, Qure.ai Research collaboration, Predible Health V. Mahajan; New Delhi/IN - nothing to disclose A. Venkatraman; Bangalore/IN - Employee at TriOcula Technologies A. Upadhyaya; Bangalore/IN - Employee at TriOcula Technologies S. Rajan; New Delhi/IN - nothing to disclose H. Mahajan; New Delhi/IN - Other at Director, Mahajan Imaging Pvt Ltd Research collaboration, General Electric Company Research collaboration, Koninklijke Philips NV Research collaboration, Qure.ai Research collaboration, Predible Health