@inproceedings{40d9a519213f4740b4cb06d47a52dacc,
title = "A dilated residual hierarchically fashioned segmentation framework for extracting Gleason tissues and grading prostate cancer from whole slide images",
abstract = "Prostate cancer (PCa) is the second deadliest form of cancer in males, and it can be clinically graded by examining the structural representations of Gleason tissues. This paper proposes a new method for segmenting the Gleason tissues (patch-wise) in order to grade PCa from the whole slide images (WSI). Also, the proposed approach encompasses two main contributions: 1) A synergy of hybrid dilation factors and hierarchical decomposition of latent space representation for effective Gleason tissues extraction, and 2) A three-tiered loss function which can penalize different semantic segmentation models for accurately extracting the highly correlated patterns. In addition to this, the proposed framework has been extensively evaluated on a large-scale PCa dataset containing 10,516 whole slide scans (with around 71.7M patches), where it outperforms state-of-the-art schemes by 3.22% (in terms of mean intersection-over-union) for extracting the Gleason tissues and 6.91% (in terms of F1 score) for grading the progression of PCa.",
keywords = "Dice loss, Focal tversky loss, Gleason patterns, Prostate cancer",
author = "Taimur Hassan and Bilal Hassan and Ayman ElBaz and Naoufel Werghi",
note = "Funding Information: This work is supported by a research fund from Terry Fox Foundation, Ref: I1037, and Khalifa University, Ref: CIRA-2019-047. Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Sensors Applications Symposium, SAS 2021 ; Conference date: 23-08-2021 Through 25-08-2021",
year = "2021",
month = aug,
day = "23",
doi = "10.1109/SAS51076.2021.9530155",
language = "British English",
series = "2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings",
address = "United States",
}