(1) where I, A are multi-channel images, L is a single-channel image (same size as I and A), and is the component-wise product of the pixel values. Fig. 1. Example of…
Fig. 1. 3D SD-OCT reconstruction of a (a) healthy retina with the foveal pit in the center, and (b) a retina with edema, where the swelling of the retina is…
Fig. 1. An overview of the MCNN. Our approach first extracts multiple nodule patches to capture the wide range of nodule variability from input CT images. The obtained patches are…
. 1 Introduction In recent years, major efforts have been undertaken towards building large medical image databases, e.g. in population studies. As the wealth of data increases, automated segmentation of…
if both exact and one-off predictions are considered correct. 1 Introduction Systems for storing and transmitting digital data are increasing rapidly in size and bandwidth capacity. Data collection projects such…
Fig. 1. Illustration of the proposed method. The atlas space is first defined using images of the first time frame (TF). All the time sequences are transformed into the atlas…
field inhomogeneities and the uneven magnetisation of the brain due to its magnetic susceptibility can lead to spatial displacements of several pixels. This prevents comparison between these images and others…
better reproducibility compared to existing approaches. We also report that our group-wise parcellations are functionally more consistent, thus, can be reliably used to represent the population in network analyses. 1…
accuracy by hashing and retrieving multiple cues of half-million cells. 1 Introduction Content-based image retrieval (CBIR) has been an effective approach in analyzing medical images [1–3]. It aims to retrieve and…
1 s) makes it difficult to perform causal inference based on the past. Consequently, lag-based methods for computing directed interactions are not suitable for fMRI data analysis. Instead of relying on…
