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"A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation." IEEE Journal of Biomedical and Health Informatics 25, no. 6 (2021): 2029-2040.
09314114.pdf (6.16 MB)
09314114.pdf (6.16 MB) DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation In 25th International Conference on Pattern Recognition. Springer, 2021. endotect_segmentation_debesh.pdf (4.12 MB)
endotect_segmentation_debesh.pdf (4.12 MB) Improving generalizibilty in polyp segmentation using ensemble convolutional neural network In 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV2021). Vol. 2886. CEUR Workshop Proceedings, 2021.
Progressively Normalized Self-Attention Network for Video Polyp Segmentation In Medical Image Computing and Computer Assisted Intervention (MICCAI 2021). Vol. LNCS, volume 12901. Springer, 2021.
Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy Images In Nordic Machine Intelligence, Edited by M. Riegler, S. Hicks, P. Halvorsen and V. Thambawita. Vol. 1. Nordic Machine Intelligence, 2021.
Kvasir-SEG: A Segmented Polyp Dataset In International Conference on Multimedia Modeling. Daejeon, Korea: Springer, 2020. mmm_2020_kvasir_seg_debesh.pdf (4.04 MB)
mmm_2020_kvasir_seg_debesh.pdf (4.04 MB) ResUNet++: An Advanced Architecture for Medical Image Segmentation In 2019 IEEE International Symposium on Multimedia (ISM). San Diego, California, USA: IEEE, 2019. resunet_accepted_debesh.pdf (1.01 MB)
resunet_accepted_debesh.pdf (1.01 MB)