BronchoLumen applies YOLOv8 and YOLOv12 to bronchial orifice detection, achieving mAP@0.5 of 0.91 and 0.84 on in-domain tests and 0.68 on cross-domain tests with open-weight models released.
In: 2024 IEEE 14th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, pp
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
BronchoLumen: Analysis of recent YOLO-based architectures for real-time bronchial orifice detection in video bronchoscopy
BronchoLumen applies YOLOv8 and YOLOv12 to bronchial orifice detection, achieving mAP@0.5 of 0.91 and 0.84 on in-domain tests and 0.68 on cross-domain tests with open-weight models released.