Fix math escaping in README

README.md

@@ -17,13 +17,13 @@ Feigin M, Freedman D, Anthony BW. Computing Speed-of-Sound from ultrasound: user
 
 ## Simulation
 
-The full dataset consists of 112640 simulations split into 9216 simulations in the training set, 1024 in the validation set, and 1024 in the test set. The measured signal is simulated using the k-wave MATLAB toolbox. Simulations were performed for nine plane waves at 0, \\(pm8\\), \\(\pm16\\), \\(\pm24\\), and \\(\pm32\\) element offsets, with corresponding wavefront angles of 0, \\(pm6.7\\), \\(pm13.7\\), \\(pm20.2\\), and \\(pm26.3\\) (the time delay is calculated based on 1540 m/s speed of sound so the actual angle will differ per sample), set to pass through the center of the domain. See the figures for details (three of the 9 plane waves are shown to reduce clutter). Each simulation was performed with two center frequencies, 2.5 MHz and 5 MHz, with a Gaussian window (pulse width) of 5 oscillations. An additional simulation at 4.4 MHz is available under the validation directory to allow testing for transfer learning.
+The full dataset consists of 112640 simulations split into 9216 simulations in the training set, 1024 in the validation set, and 1024 in the test set. The measured signal is simulated using the k-wave MATLAB toolbox. Simulations were performed for nine plane waves at \\(0\\), \\(\pm 8\\), \\(\pm 16\\), \\(\pm 24\\), and \\(\pm 32\\) element offsets, with corresponding wavefront angles of \\(0\\), \\(\pm 6.7\\), \\(\pm 13.7\\), \\(\pm 20.2\\), and \\(\pm 26.3\\) (the time delay is calculated based on 1540 m/s speed of sound so the actual angle will differ per sample), set to pass through the center of the domain. See the figures for details (three of the 9 plane waves are shown to reduce clutter). Each simulation was performed with two center frequencies, 2.5 MHz and 5 MHz, with a Gaussian window (pulse width) of 5 oscillations. An additional simulation at 4.4 MHz is available under the validation directory to allow testing for transfer learning.
 
 Each simulation comprised of \\(1152 \times 1152\\) random speed-of-sound and \\(\alpha\\) (attenuation) coefficient maps following power law attenuation [\\(\mbox{dB} / \mbox{cm} / \mbox{MHz}^2\\)] in a domain \\(42.35 \times 42.35\\) mm in size
 
 The domain is constructed by layering a randomly selected set of ellipses and half-planes. For each of the resulting domains (organs), we randomly selected the speed of sound, attenuation coefficient, speckle density, and speckle amplitude. Domains were verified to not slice the probe face; i.e. the resulting maps are verified not to have a discontinuity at the probe face.
 
-The speed of sound range is 1300 m/s to 1800 m/s. The $\alpha$ coefficient range is \\(0.05\\) to \\(0.15\\) \\(\mbox{dB} / \mbox{cm} / \mbox{MHz}^2\\).  Background density is set to 0.9 \\(g/cm^3\\) (density of fat).
+The speed of sound range is 1300 m/s to 1800 m/s. The \\(\alpha\\) coefficient range is \\(0.05\\) to \\(0.15\\) dB/cm/MHz\\({}^2\\).  Background density is set to 0.9 g/cm\\({}^3\\) (density of fat).
 
 Speckle noise is randomly generated in the density domain so as not to affect the wavefront propagation speed (uniformly distributed point sources with 2-10 points per wavelength and uniformly distributed amplitude at \\(\pm 10\%\\)).