المؤلفون: Qadir, Hemin Ali, Shin, Younghak, Solhusvik, Johannes, Bergsland, Jacob, Aabakken, Lars, Balasingham, Ilangko

المصدر: 2019 13th International Symposium on Medical Information and Communication Technology (ISMICT)

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing

URL الوصول: http://arxiv.org/abs/1907.09180

المؤلفون: Qadir, Hemin Ali Qadir, Shin, Younghak, Solhusvik, Johannes, Bergsland, Jacob, Aabakken, Lars, Balasingham, Ilangko

المصدر: 1361-8415.

مصطلحات موضوعية: VDP::Medisinsk teknologi: 620

Relation: http://urn.nb.no/URN:NBN:no-88471; Qadir, Hemin Ali Qadir Shin, Younghak Solhusvik, Johannes Bergsland, Jacob Aabakken, Lars Balasingham, Ilangko . Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction. Medical Image Analysis. 2020, 68; http://hdl.handle.net/10852/85819; 1900583; info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Medical Image Analysis&rft.volume=68&rft.spage=&rft.date=2020; Medical Image Analysis; 68; https://doi.org/10.1016/j.media.2020.101897; URN:NBN:no-88471; Fulltext https://www.duo.uio.no/bitstream/handle/10852/85819/2/1-s2.0-S1361841520302619-main.pdf

الاتاحة: http://hdl.handle.net/10852/85819
http://urn.nb.no/URN:NBN:no-88471
https://doi.org/10.1016/j.media.2020.101897

المؤلفون: Qadir, Hemin Ali, Solhusvik, Johannes, Bergsland, Jacob, Aabakken, Lars, Balasingham, Ilangko

المصدر: 2169-3536.

Relation: NFR/271542; http://urn.nb.no/URN:NBN:no-79687; Qadir, Hemin Ali Solhusvik, Johannes Bergsland, Jacob Aabakken, Lars Balasingham, Ilangko . A framework with a fully convolutional neural network for semi-automatic colon polyp annotation. IEEE Access. 2019, 7, 169537-169547; http://hdl.handle.net/10852/76600; 1785407; info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IEEE Access&rft.volume=7&rft.spage=169537&rft.date=2019; IEEE Access; 169537; 169547; https://doi.org/10.1109/ACCESS.2019.2954675; URN:NBN:no-79687; Fulltext https://www.duo.uio.no/bitstream/handle/10852/76600/2/08907852.pdf

الاتاحة: http://hdl.handle.net/10852/76600
http://urn.nb.no/URN:NBN:no-79687
https://doi.org/10.1109/ACCESS.2019.2954675