@inproceedings{d2c3c15461d94b8db1bb2d8376ce5f74,
title = "Guided Unsupervised Desmoking of Laparoscopic Images Using Cycle-Desmoke",
abstract = "The generation of smoke in laparoscopic surgery due to laser ablation and cauterization causes deterioration in the visual quality of the operative field. In order to reduce the effect of smoke, the present paper proposes an end-to-end network, called Cycle-Desmoke. The network enhances the CycleGAN framework by adoption of a new generator architecture and addition of new Guided-Unsharp Upsample loss in combination to adversarial and cycle-consistency loss. The Atrous Convolution Feature Extraction Module present in the encoder blocks of the generator helps distinguishing smoke by capturing features at multiple scales by the use of kernels with different receptive fields. Further, the use of Guided-Unsharp Upsample loss supervises the upsampling process of the feature maps and helps improve the contrast of the desmoked image. The network performs robust unsupervised Image-to-Image Translation from smoke domain to smoke-free domain. The public Cholec80 dataset is used to evaluate the performance of the proposed method. Quantitative and qualitative comparative analysis of the proposed method over the state-of-the-methods reveals the effectiveness of the method at the task of smoke removal and enhancement of the image.",
author = "V. Vishal and Neeraj Sharma and Munendra Singh",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-32695-1_3",
language = "English",
isbn = "9783030326944",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Paris",
pages = "21--28",
editor = "Luping Zhou and Duygu Sarikaya and Kia, {Seyed Mostafa} and Stefanie Speidel and Anand Malpani and Daniel Hashimoto and Mohamad Habes and Tommy L{\"o}fstedt and Kerstin Ritter and Hongzhi Wang",
booktitle = "OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings",
address = "France",
note = "2nd International Workshop on Context-Aware Surgical Theaters, OR 2.0 2019, and the 2nd International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2019 ; Conference date: 17-10-2019 Through 17-10-2019",
}