Expertini Research Research

Browse Research Papers

4+ open-access research outputs.

โœ• Clear
๐Ÿ” guohua gu ๐Ÿ“‚ Engineering
Showing 4 results for "guohua gu" in Engineering
Engineering Preprint PDF DOI

Decoding the visual attention of pathologists to reveal their level of expertise

Souradeep Chakraborty, Dana Perez, Paul Friedman, Natallia Sheuka, Constantin Friedman, Oksana Yaskiv, Rajarsi Gupta, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras ยท 2024

We present a method for classifying the expertise of a pathologist based on how they allocated their attention during a cancer reading. We engage this decoding task by developing a novel method for prโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Security-Sensitive Task Offloading in Integrated Satellite-Terrestrial Networks

Wenjun Lan, Kongyang Chen, Jiannong Cao, Yikai Li, Ning Li, Qi Chen, Yuvraj Sahni ยท 2024

With the rapid development of sixth-generation (6G) communication technology, global communication networks are moving towards the goal of comprehensive and seamless coverage. In particular, low earthโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Visual attention analysis of pathologists examining whole slide images of Prostate cancer

Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras ยท 2022

We study the attention of pathologists as they examine whole-slide images (WSIs) of prostate cancer tissue using a digital microscope. To the best of our knowledge, our study is the first to report inโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention

Yongkai Liu, Guang Yang, Sohrab Afshari Mirak, Melina Hosseiny, Afshin Azadikhah, Xinran Zhong, Robert E. Reiter, Yeejin Lee, Steven Raman, Kyunghyun Sung ยท 2019

Our main objective is to develop a novel deep learning-based algorithm for automatic segmentation of prostate zone and to evaluate the proposed algorithm on an additional independent testing data in cโ€ฆ

Read Paper โ†’