DeepPyramid+: medical image segmentation using Pyramid View Fusion and Deformable Pyramid Reception

Ghamsarian N, Taschwer M, Putzgruber-Adamitsch D, Sarny S, Schoeffmann K (2021) Relevance detection in cataract surgery videos by spatio-temporal action localization. In: 2020 25th International conference on pattern recognition (ICPR), pp 10720–10727

Ghamsarian N (2020) Enabling relevance-based exploration of cataract videos. In: Proceedings of the 2020 international conference on multimedia retrieval, pp 378–382

Ghamsarian N, Amirpourazarian H, Timmerer C, Taschwer M, Schöffmann K (2020) Relevance-based compression of cataract surgery videos using convolutional neural networks. In: Proceedings of the 28th ACM international conference on multimedia, pp 3577–3585

Ghamsarian N, Taschwer M, Putzgruber-Adamitsch D, Sarny S, El-Shabrawi Y, Schoeffmann K (2021) LensID: a CNN-RNN-based framework towards lens irregularity detection in cataract surgery videos. In: Medical image computing and computer assisted intervention—MICCAI 2021: 24th international conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part VIII 24. Springer, pp 76–86

Huang X, Wang H, She C, Feng J, Liu X, Hu X, Chen L, Tao Y (2022) Artificial intelligence promotes the diagnosis and screening of diabetic retinopathy. Front Endocrinol 13:946915

Article  Google Scholar 

Ghamsarian N, Taschwer M, Sznitman R, Schoeffmann K (2022) Deeppyramid: Enabling pyramid view and deformable pyramid reception for semantic segmentation in cataract surgery videos. In: Medical image computing and computer assisted intervention—MICCAI 2022: 25th international conference, Singapore, September 18–22, 2022, Proceedings, Part V. Springer, pp 276–286

Ronneberger O, Fischer P, Brox T (2015) U-net: Convolutional networks for biomedical image segmentation. In: Navab N, Hornegger J, Wells WM, Frangi AF (eds) Medical Image Computing and Computer-Assisted Intervention—MICCAI 2015. Springer, Cham, pp 234–241

Google Scholar 

Chen X, Zhang R, Yan P (2019) Feature fusion encoder decoder network for automatic liver lesion segmentation. In: 2019 IEEE 16th international symposium on biomedical imaging (ISBI 2019), pp 430–433

Ni Z-L, Bian G-B, Zhou X-H, Hou Z-G, Xie X-L, Wang C, Zhou Y-J, Li R-Q, Li Z (2019) Raunet: Residual attention u-net for semantic segmentation of cataract surgical instruments. In: Gedeon T, Wong KW, Lee M (eds) Neural Information Processing. Springer, Cham, pp 139–149

Chapter  Google Scholar 

Gu Z, Cheng J, Fu H, Zhou K, Hao H, Zhao Y, Zhang T, Gao S, Liu J (2019) Ce-net: Context encoder network for 2d medical image segmentation. IEEE Trans Med Imaging 38(10):2281–2292

Article  Google Scholar 

Ni Z-L, Bian G-B, Wang G-A, Zhou X-H, Hou Z-G, Chen H-B, Xie X-L (2020) Pyramid attention aggregation network for semantic segmentation of surgical instruments. Proc AAAI Conf Artif Intell 34(07):11782–11790

Google Scholar 

Ni Z-L, Bian G-B, Wang G-A, Zhou X-H, Hou Z-G, Xie X-L, Li Z, Wang Y-H (2021) Barnet: bilinear attention network with adaptive receptive fields for surgical instrument segmentation. In: Proceedings of the twenty-ninth international conference on international joint conferences on artificial intelligence, pp 832–838

Feng S, Zhao H, Shi F, Cheng X, Wang M, Ma Y, Xiang D, Zhu W, Chen X (2020) CPFNet: Context pyramid fusion network for medical image segmentation. IEEE Trans Med Imaging 39(10):3008–3018

Article  PubMed  Google Scholar 

Zhou Z, Siddiquee MMR, Tajbakhsh N, Liang J (2020) Unet++: Redesigning skip connections to exploit multiscale features in image segmentation. IEEE Trans Med Imaging 39(6):1856–1867

Article  PubMed  Google Scholar 

Roy AG, Navab N, Wachinger C (2019) Recalibrating fully convolutional networks with spatial and channel “squeeze and excitation" blocks. IEEE Trans Med Imaging 38(2):540–549

Article  PubMed  Google Scholar 

Ghamsarian N, Taschwer M, Putzgruber-Adamitsch D, Sarny S, El-Shabrawi Y, Schöffmann K (2021) Recal-net: Joint region-channel-wise calibrated network for semantic segmentation in cataract surgery videos. In: Neural information processing: 28th international conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part III 28. Springer, pp 391–402

Zhao H, Shi J, Qi X, Wang X, Jia J (2017) Pyramid scene parsing network. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR)

Chen L-C, Papandreou G, Kokkinos I, Murphy K, Yuille AL (2018) Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE Trans Pattern Anal Mach Intell 40(4):834–848

Article  PubMed  Google Scholar 

Chen L-C, Zhu Y, Papandreou G, Schroff F, Adam H (2018) Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European conference on computer vision (ECCV)

Ghamsarian N, El-Shabrawi Y, Nasirihaghighi S, Putzgruber-Adamitsch D, Zinkernagel M, Wolf S, Schoeffmann K, Sznitman R (2023) Cataract-1K: cataract surgery dataset for scene segmentation, phase recognition, and irregularity detection. arXiv preprint https://arxiv.org/abs/2312.06295

Bodenstedt S, Speidel S, Allan M, Stoyanov D, Maier-Hein L, Kenngott H, Wagner M (2015) Multi-instrument EndoVis challenge dataset. https://endovissub-instrument.grand-challenge.org/

Leibetseder A, Schoeffmann K, Keckstein J, Keckstein S (2022) Endometriosis detection and localization in laparoscopic gynecology. Multimed Tools Appl 81(5):6191–6215

Article  Google Scholar 

Liu Q, Dou Q, Yu L, Heng PA (2020) MS-Net: multi-site network for improving prostate segmentation with heterogeneous MRI data. IEEE Trans Med Imaging

Bogunovic H, Venhuizen F, Klimscha S, Apostolopoulos S, Bab-Hadiashar A, Bagci U, Beg MF, Bekalo L, Chen Q, Ciller C, Gopinath K, Gostar AK, Jeon K, Ji Z, Kang SH, Koozekanani DD, Lu D, Morley D, Parhi KK, Park HS, Rashno A, Sarunic M, Shaikh S, Sivaswamy J, Tennakoon R, Yadav S, De Zanet S, Waldstein SM, Gerendas BS, Klaver C, Sánchez CI, Schmidt-Erfurth U (2019) Retouch: the retinal oct fluid detection and segmentation benchmark and challenge. IEEE Trans Med Imaging 38(8):1858–1874

Article  PubMed  Google Scholar 

Grammatikopoulou M, Flouty E, Kadkhodamohammadi A, Quellec G, Chow A, Nehme J, Luengo I, Stoyanov D (2021) CaDIS: Cataract dataset for surgical RGB-image segmentation. Med Image Anal 71:102053

Article  PubMed  Google Scholar 

Chen L-C, Zhu Y, Papandreou G, Schroff F, Adam H (2018) Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European conference on computer vision (ECCV), pp 801–818

Xiao T, Liu Y, Zhou B, Jiang Y, Sun J (2018) Unified perceptual parsing for scene understanding. In: Proceedings of the European conference on computer vision (ECCV), pp 418–434

Ghamsarian N, Gamazo Tejero J, Márquez-Neila P, Wolf S, Zinkernagel M, Schoeffmann K, Sznitman R (2023) Domain adaptation for medical image segmentation using transformation-invariant self-training. In: International conference on medical image computing and computer-assisted intervention. Springer, pp 331–341

留言 (0)

沒有登入
gif