%0 Conference Paper %1 conf/icr2/MichaelMQ22 %A Michael, Epimack %A Ma, He %A Qi, Shouliang %B ICR %D 2022 %E Daimi, Kevin %E Alsadoon, Abeer %I Springer %K dblp %P 22-31 %T Breast Tumor Segmentation in Ultrasound Images Based on U-NET Model. %U http://dblp.uni-trier.de/db/conf/icr2/icr2022.html#MichaelMQ22 %V 1431 %@ 978-3-031-14054-9

@inproceedings{conf/icr2/MichaelMQ22, added-at = {2022-08-17T00:00:00.000+0200}, author = {Michael, Epimack and Ma, He and Qi, Shouliang}, biburl = {https://www.bibsonomy.org/bibtex/2f76400faeb89546375472270e3b34941/dblp}, booktitle = {ICR}, crossref = {conf/icr2/2022}, editor = {Daimi, Kevin and Alsadoon, Abeer}, ee = {https://doi.org/10.1007/978-3-031-14054-9_3}, interhash = {0b831ddca363a59017d92cbd8fd1caec}, intrahash = {f76400faeb89546375472270e3b34941}, isbn = {978-3-031-14054-9}, keywords = {dblp}, pages = {22-31}, publisher = {Springer}, series = {Advances in Intelligent Systems and Computing}, timestamp = {2024-04-09T23:07:27.000+0200}, title = {Breast Tumor Segmentation in Ultrasound Images Based on U-NET Model.}, url = {http://dblp.uni-trier.de/db/conf/icr2/icr2022.html#MichaelMQ22}, volume = 1431, year = 2022 }