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20162023
most citedMachine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds

11 citations · 34 across the 23 of their papers we have counts for

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Showing cs.CVShow all

5 papers · 1 filter

cs.CV2023

Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures

Shunxing Bao, Sichen Zhu, Vasantha L Kolachala +16

Crohn's disease (CD) is a chronic and relapsing inflammatory condition that affects segments of the gastrointestinal tract. CD activity is determined by histological findings, part…

cs.CV2023

Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images

Can Cui, Yaohong Wang, Shunxing Bao +11

Many anomaly detection approaches, especially deep learning methods, have been recently developed to identify abnormal image morphology by only employing normal images during train…

cs.CV20224 cited

Progressive Knowledge Transfer Based on Human Visual Perception Mechanism for Perceptual Quality Assessment of Point Clouds

Qi Liu, Yiyun Liu, Honglei Su +2

With the wide applications of colored point cloud in many fields, point cloud perceptual quality assessment plays a vital role in the visual communication systems owing to the exis…

cs.CV201911 cited

Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds

Zihao Liu, Xiaowei Xu, Tao Liu +7

Cloud based medical image analysis has become popular recently due to the high computation complexities of various deep neural network (DNN) based frameworks and the increasingly l…

cs.CV2018

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples

Zihao Liu, Qi Liu, Tao Liu +4

Image compression-based approaches for defending against the adversarial-example attacks, which threaten the safety use of deep neural networks (DNN), have been investigated recent…