Gliomas are the most common primary brain malignancies, with different degrees of
aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, ie, …

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS),
which was organized in conjunction with the IEEE International Symposium on …

A novel catalyst, inverse-spinel ferroferric oxide nanoparticles decorated multiwalled carbon
nanotubes (Fe 3 O 4 /MWCNTs) was successfully prepared, and applied for the adsorption …

Convolutional neural networks (CNNs) have achieved significant success in the single
image dehazing task. Unfortunately, most existing deep dehazing models have high …

We present a systematic study on a new task called dichotomous image segmentation (DIS),
which aims to segment highly accurate objects from natural images. To this end, we …

Accurate and automatic organ segmentation is critical for computer-aided analysis towards
clinical decision support and treatment planning. State-of-the-art approaches have achieved …

It is well known that anions play numerous fundamental roles in chemical, biological,
physiologic and environmental processes, mainly because of their ubiquity.[1] Many literatures …

Taking theophylline and (1R,2S)‐(−)‐ephedrine as template molecules, two imprinted
photonic‐hydrogel films are prepared by a combination of colloidal‐crystal and molecular‐…

In this work photodegradation rates and pathways of malachite green were studied under
simulated and solar irradiation with the goal of assessing the potential of photolysis as a …

Spotting camouflaged objects that are visually assimilated into the background is tricky for
both object detection algorithms and humans who are usually confused or cheated by the …