Gallstones are a common public health problem, especially in developed countries. There
are an increasing number of patients who are diagnosed with gallstones due to increasing …

Incidental findings are commonly detected during examination of the gallbladder.
Differentiating benign from malignant lesions is critical because of the poor prognosis …

We propose a novel deep neural network architecture to learn interpretable representation
for medical image analysis. Our architecture generates a global attention for region of …

We explore the potential of CNN-based models for gallbladder cancer (GBC) detection from
ultrasound (USG) images as no prior study is known. USG is the most common diagnostic …

Background Gallbladder cancer (GBC) is highly aggressive. Diagnosis of GBC is
challenging as benign gallbladder lesions can have similar imaging features. We aim to …

Objective To investigate the diagnostic performance of a multiparametric magnetic
resonance imaging (MRI) protocol comprising quantitative MRI (diffusion-weighted imaging …

Gallbladder cancer (GBC) is one of the commonest biliary malignancies seen in India,
Argentina, and Japan. The disease has dismal outcome as it is detected quite late due to …

Background The radiological differentiation of xanthogranulomatous cholecystitis (XGC) and
gallbladder cancer (GBC) is challenging yet critical. We aimed at utilizing the deep learning …

Gallbladder cancer (GBC) has a high incidence in certain geographical regions.
Morphologically, GBC presents as a mass replacing the gallbladder, a polypoidal lesion, or …

Abstract The World Federation of Ultrasound in Medicine and Biology (WFUMB) is
addressing the issue of incidental findings with a series of position papers to give advice on …