Polyp-artifact relationship analysis using graph inductive learned representations

Ali, S., Zhou, F., Daul, C., Braden, B., Bailey, A., Realdon, S., East, J., Wagnières, G., Loschenov, V., Grisan, E., Blondel, W., Rittscher, J.: Endoscopy artifact detection (EAD 2019) challenge dataset. CoRR abs/1905.03209

Original

1905

Earlier work this paper cites.

Kayser, M., Soberanis-Mukul, R.D., Zvereva, A.M., Klare, P., Navab, N., Albarqouni, S.: Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgetting (2020), arXiv preprint arXiv:2002.02883v3

Original

2002

Earlier work this paper cites.

Stehle, T.: Removal of specular reflections in endoscopic images. Acta Polytechnica 46

2006

Earlier work this paper cites.

Gross, S., Stehle, T., Behrens, A., Auer, R., Aach, T., Winograd, R., Trautwein, C., Tischendorf, J.: A comparison of blood vessel features and local binary patterns for colorectal polyp classification. In: Medical Imaging 2009: Computer-Aided Diagnosis. vol. 7260, p. 72602Q. International Society for Optics and Photonics (2009)

2009

Earlier work this paper cites.

Bernal, J., Sánchez, J., no, F.V.: Towards automatic polyp detection with a polyp appearance model. In: Pattern Recognition (2012)

2012

Earlier work this paper cites.

Ganz, M., Yang, X., Slabaugh, G.: Automatic segmentation of polyps in colonoscopic narrow-band imaging data. IEEE Transactions on Biomedical Engineering 59

2012

Earlier work this paper cites.

Silva, J., Histace, A., Romain, O., Dray, X., Granado, B.: Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer. International Journal of Computer Assisted Radiology and Surgery 9

2014

Earlier work this paper cites.

Bernal, J., Sánchez, F.J., Fernández-Esparrach, G., Gil, D., Rodríguez, C., no, F.V.: Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians. Computerized Medical Imaging and Graphics 43

2015

Earlier work this paper cites.

Chadebecq, F., Tilmant, C., Bartoli, A.: How big is this neoplasia? live colonoscopic size measurement using the infocus-breakpoint. Medical Image Analysis (2015)

2015

Cited alongside, same era.

Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. In: Advances in neural information processing systems (2015)

2015

Cited alongside, same era.

Tajbakhsh, N., Gurudu, S.R., Liang, J.: Automated polyp detection in colonoscopy videos using shape and context information. IEEE transactions on medical imaging 35

2015

Cited alongside, same era.

Bernal, J., Tajkbaksh, N., Sánchez, F.J., Matuszewski, B., Chen, H., Yu, L., Angermann, Q., Romain, O., Björn, Balasingham, I., et al.: Comparative validation of polyp detection methods in video colonoscopy: results from the miccai 2015 endoscopic vision challenge. IEEE transactions on medical imaging (2017)

2017

Cited alongside, same era.

Funke, I., Bodenstedt, S., Riediger, C., Weitz, J., Speidel, S.: Generative adversarial networks for specular highlight removal in endoscopic images. In: Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. vol. 10576, p. 1057604. International Society for Optics and Photonics (2018)

2018

Later among the works it cites.

Shin, Y., Qadir, H.A., Aabakken, L., Bergsland, J., Balasingham, I.: Automatic colon polyp detection using region based deep cnn and post learning approaches. IEEE Access (2018)

2018

Later among the works it cites.

Ali, S., Zhou, F., Bailey, A., Braden, B., East, J., Lu, X., Rittscher, J.: A deep learning framework for quality assessment and restoration in video endoscopy. arXiv preprint arXiv:1904.07073 (2019)

Original

2019

Later among the works it cites.

Ali Qadir, H., Shin, Y., Solhusvik, J., Bergsland, J., Aabakken, L., Balasingham, I.: Polyp detection and segmentation using mask r-cnn: Does a deeper feature extractor cnn always perform better? In: 3th International Symposium on Medical Information and Communication Technology (ISMICT) (2019)