Work

Multi-institutional observer performance study for bladder cancer treatment response assessment in CT urography with and without computerized decision support

Year: 2021

Type: conference-paper

Study design: Observational Study

Source: SPIE Medical Imaging: Computer-Aided Diagnosis

DOI: 10.1117/12.2582331

Authors: Lubomir M. Hadjiiski, Monika Joshi, Ajjai Alva, Heang-Ping Chan, Richard H. Cohan, Elaine M. Caoili, Galina Kirova-Nedyalkova, Matthew S. Davenport, Prasad R. Shankar, Isaac R. Francis, Kenny H. Cha, Ravi K. Samala, Phillip L. Palmbos, Alon Z. Weizer

Institutions: Michigan Medicine, Pennsylvania State University, Tokuda Hospital, Acibadem City Clinic

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: W3130070194

FWCI: 0.314

Cites:

Cited by: 1

Related to: 10