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Filters: Author is Håvard D. Johansen [Clear All Filters]
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging." Medical Image Analysis 70 (2021): 102007.
2.pdf (3.22 MB)
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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)
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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)

DeepSynthBody: the beginning of the end for data deficiency in medicine In The International Conference on Applied Artificial Intelligence (ICAPAI). IEEE, 2021.
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy In 27th International Conference on Multimedia Modeling. Vol. LNCS, volume 12573. Springer, 2021.
mmm.pdf (648.64 KB)

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)

LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification In The Joint International Conference PDCAT-PAAP 2020. Springer, 2020.
pdcat_paap_springer_debesh.pdf (288.65 KB)

Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation In Medico MediaEval 2020. CEUR, 2020.
2020_automatic_polyp_segmentation_challenge_debesh.pdf (1.49 MB)

The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning In MediaEval 2018. Nice, France: MediaEval, 2018.
mediaeval_team_dv_10.pdf (374.73 KB)
