Salient object detectionSuperpixelIn this paper, we propose a novel bottom-up saliency detection algorithm to effectively detect salient objects. Different from most existing methods that are not robust to comp
Salient object detection via cross diffusion-based compactness on multiple graphs 2021, Multimedia Tools and Applications View all citing articles on ScopusYun Xiao received B.S. degree in mathematics and applied mathematics and the M.Eng. degree in computer science from Anhui University of China in...
Biomarkers are indispensable for precision medicine. However, focused single-biomarker development using human tissue has been complicated by sample spatial heterogeneity. To address this challenge, we tested a representation of primary tumor that synerg
We propose a multi-layer graph based approach for salient object detection in natural images. Starting from a set of multi-scale image decomposition using superpixels, we propose an objective function optimized on a multi-layer graph structure to diffuse saliency from image borders to salient ...
Salient object detectionMulti-graph frameworkMap refinementManifold rankingGraph-based methods have been widely adopted for predicting the most attractive region in an image. Most of the existing graph-based methods only utilize single graph to describe the image information, and thus cannot adapt for ...
We propose a multi-layer graph based approach for salient object detection in natural images. Starting from a set of multi-scale image decomposition using superpixels, we propose an objective function optimized on a multi-layer graph structure to diffuse saliency from image borders to salient ...
Benblidia, "Multi-scale salient object detection using graph ranking and global-local saliency refinement," Signal Processing: Image Communication, vol. 47, pp. 380-401, 2016.I. Filali, M.S. Allili, N. Benblidia, Multi-scale salient object detection using graph ranking and global-local ...
In particular, the loss function utilizes 2 , 1 - norm and adaptive salient weight to enhance the capacity of modeling anomaly patterns. Experimental results demonstrate that the proposed MPGAE effectively outperforms other state-of-the-art HAD detectors....
Moreover, they showed that machine-engineered features correlate with salient human-derived morphological constructs. This is an important step in achieving an overlap between human and AI, helping in eliminating bias and improving the accountability for future AI assisted medicine. They also emphasized...
(AP) views, and salient axial slices of differentCT volumesare collected for CT images. Most of the ultrasound images are in a convex view, and the rest are in linear view. Following the work of Chest-X-ray-8[42], we use the technology of text mining andnatural language processing(NLP...