Work

Predicting response to neoadjuvant therapy using tumor morphologic features on breast MRI

Year: 2023

Type: conference-paper

Source: Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

DOI: 10.58530/2022/1593

Authors: Wen Li, Rohan Nadkarni, David Newitt, Natsuko Onishi, Jessica Gibbs, Lisa Wilmes, Bonnie Joe, Efstathios Gennates, John Kornak, Mark Magbanua, Laura van't Veer, Barbara LeStage, Laura Esserman, Nola Hylton

Language: English

Topic: MRI in cancer diagnosis

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4385543254

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