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Mo1172 A RADIOMICS MACHINE LEARNING PREDICTOR CAN REPRODUCIBLY DIAGNOSE ACTIVE TERMINAL ILEAL CROHN'S DISEASE PATIENTS ON CT ENTEROGRAPHY SCANS ACROSS VARIATIONS IN DOSE STRENGTHS

Year: 2020

Type: conference-abstract

Source: Gastroenterology

DOI: 10.1016/s0016-5085(20)32713-x

Authors: Prathyush Chirra, Alain G. Rizk, Avani Muchhala, Kaustav Bera, Namita S. Gandhi, Satish E. Viswanath

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W3026979546

Cites: 21

Cited by:

Related to: 10