M2IoU: A Min-Max Distance-based Loss Function for Bounding Box Regression in Medical Imaging.

Anurag Shandilya|Kalash Shah|Bhavik Kanekar|Akshat Gautam|Pavni Tandon|Ganesh Ramakrishnan|Kshitij S. Jadhav


Anthology ID:DBLP:conf/cikm/ShandilyaSKGTRJ24
Volume:Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
Year:2024
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:4041-4045
URL:https://doi.org/10.1145/3627673.3679958
DOI:https://doi.org/10.1145/3627673.3679958
DBLP:conf/cikm/ShandilyaSKGTRJ24
BibTeX:
@inproceedings{shandilya-2024-m2iou, author = {Anurag Shandilya and Kalash Shah and Bhavik Kanekar and Akshat Gautam and Pavni Tandon and Ganesh Ramakrishnan and Kshitij S. Jadhav}, editor = {Edoardo Serra and Francesca Spezzano}, title = {{M2IoU: A Min-Max Distance-based Loss Function for Bounding Box Regression in Medical Imaging}}, booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}}, pages = {4041--4045}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3627673.3679958}, doi = {https://doi.org/10.1145/3627673.3679958} }