Work

Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer

Year: 2011

Type: article

Source: Computerized Medical Imaging and Graphics

DOI: 10.1016/j.compmedimag.2010.12.003

Authors: Gaoyu Xiao, B. Nicolas Bloch, Jonathan Chappelow, Elizabeth M. Genega, Neil M. Rofsky, Robert E. Lenkinski, John Tomaszewski, Michael D. Feldman, Mark Rosen, Anant Madabhushi

Institutions: Rutgers, The State University of New Jersey, Boston University, Boston Medical Center, Beth Israel Deaconess Medical Center, Harvard University, The University of Texas Southwestern Medical Center, University of Pennsylvania

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, National Cancer Institute

Awards: Integrating Quantitative Histological Image and Vascular Density Patterns for Pro, G2295001995, G2335830113, G35383115, Prostate-cancer Imaging by Combined Ultrasound and Magnetic-resonance Parameters, Software to facilitate multimode, multiscale fused data for Pathology and Radiolo

OpenAlex ID: W1986724697

FWCI: 8.603

Cites: 34

Cited by: 67

Related to: 10