This article addresses 2-dimensional layout of high-dimensional biomedical datasets, which is useful for browsing them ef.ciently. We employ the Isomap technique, which is based on classical MDS (multi-dimensional scaling) but seeks to preserve the intrinsic geometry of the data, as captured in the geodesic manifold distances between all pairs of data points while classical approaches can see just the Euclidean structure. According to .rst two of Isomap?s coordinates, the high-dimensional data points are arranged in a plane. Experimental results with images of marine creatures? shapes and 3D bone renderings are presented.