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}
}