Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer-Reference-Cited by-同舟云学术

Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer

Published:2022 Issue: Volume: Page:11-21
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Chakraborty Souradeep,Gupta Rajarsi,Ma Ke,Govind Darshana,Sarder Pinaki,Choi Won-Tak,Mahmud Waqas,Yee Eric,Allard Felicia,Knudsen Beatrice,Zelinsky Gregory,Saltz Joel,Samaras Dimitris

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-16961-8_2

Reference22 articles.

1. Govind, D., et al.: Improving the accuracy of gastrointestinal neuroendocrine tumor grading with deep learning. Sci. Rep. 10(1), 1–12 (2020)

2. Matsukuma, K., Olson, K.A., Gui, D., Gandour-Edwards, R., Li, Y., Beckett, L.: Synaptophysin-Ki-67 double stain: a novel technique that improves interobserver agreement in the grading of well-differentiated gastrointestinal neuroendocrine tumors. Mod. Pathol. 30(4), 620–629 (2017)

3. Hashimoto, N., et al.: Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with unannotated histopathological images. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 3852–3861 (2020)

4. Chakraborty, S., et al.: Visual attention analysis of pathologists examining whole slide images of Prostate cancer. In: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), pp. 1–5. IEEE, March 2022

5. Brunyé, T.T., Drew, T., Kerr, K.F., Shucard, H., Weaver, D.L., Elmore, J.G.: Eye tracking reveals expertise-related differences in the time-course of medical image inspection and diagnosis. J. Med. Imaging 7(5), 051203 (2020)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shedding light on the black box of a neural network used to detect prostate cancer in whole slide images by occlusion-based explainability;New Biotechnology;2023-12

2. Spatially aware transformer networks for contextual prediction of diabetic nephropathy progression from whole slide images;Medical Imaging 2023: Digital and Computational Pathology;2023-04-07

3. Spatially Aware Transformer Networks for Contextual Prediction of Diabetic Nephropathy Progression from Whole Slide Images;2023-02-23