%0 Conference Paper %1 conf/mibam/MaGJSCTH22 %A Ma, Kevin C. %A Green, Michael V. %A Jagoda, Elaine M. %A Seidel, Jürgen %A Choyke, Peter L. %A Turkbey, Baris %A Harmon, Stephanie A. %B Biomedical Applications in Molecular, Structural, and Functional Imaging %D 2022 %E Gimi, Barjor S. %E Król, Andrzej %I SPIE %K dblp %T Deep learning vs. conventional methods for automatic quantification of total tumor radioactivity in positron projection images of mouse xenograft tumors. %U http://dblp.uni-trier.de/db/conf/mibam/mibam2022.html#MaGJSCTH22 %V 12036 %@ 9781510649484

@inproceedings{conf/mibam/MaGJSCTH22, added-at = {2024-11-27T00:00:00.000+0100}, author = {Ma, Kevin C. and Green, Michael V. and Jagoda, Elaine M. and Seidel, Jürgen and Choyke, Peter L. and Turkbey, Baris and Harmon, Stephanie A.}, biburl = {https://www.bibsonomy.org/bibtex/2131deb9374d6cd419c84766fdd285c7a/dblp}, booktitle = {Biomedical Applications in Molecular, Structural, and Functional Imaging}, crossref = {conf/mibam/2022}, editor = {Gimi, Barjor S. and Król, Andrzej}, ee = {https://doi.org/10.1117/12.2610759}, interhash = {90e4b0f532ce6fc5f258caccd83a1638}, intrahash = {131deb9374d6cd419c84766fdd285c7a}, isbn = {9781510649484}, keywords = {dblp}, publisher = {SPIE}, series = {SPIE Proceedings}, timestamp = {2024-12-02T07:23:22.000+0100}, title = {Deep learning vs. conventional methods for automatic quantification of total tumor radioactivity in positron projection images of mouse xenograft tumors.}, url = {http://dblp.uni-trier.de/db/conf/mibam/mibam2022.html#MaGJSCTH22}, volume = 12036, year = 2022 }