Support vector machine for breast cancer classification using diffusion ‐weighted MRI histogram features: Preliminary study

ConclusionOur findings suggest that SVM, using features from a combination of diffusion models, improves prediction accuracy for differentiation of benign versus malignant breast tumors, and may further assist in subtyping of breast cancer.Level of Evidence: 3Technical Efficacy: Stage 3J. Magn. Reson. Imaging 2017.

Source: Journal of Magnetic Resonance Imaging - October 16, 2017 Category: Radiology Authors: Igor Vidi ć, Liv Egnell, Neil P. Jerome, Jose R. Teruel, Torill E. Sjøbakk, Agnes Østlie, Hans E. Fjøsne, Tone F. Bathen, Pål Erik Goa Tags: Original Research Source Type: research