2 papers
cs.CV2026
Bridging the Applicator Gap with Data-Doping:Dual-Domain Learning for Precise Bladder Segmentation in CT-Guided Brachytherapy
Suresh Das, Siladittya Manna, Sayantari Ghosh
Performance degradation due to covariate shift remains a major challenge for deep learning models in medical image segmentation. An open question is whether samples from a shifted…
cs.CV2025
OralBBNet: Spatially Guided Dental Segmentation of Panoramic X-Rays with Bounding Box Priors
Devichand Budagam, Azamat Zhanatuly Imanbayev, Iskander Rafailovich Akhmetov +3
Teeth segmentation and recognition play a vital role in a variety of dental applications and diagnostic procedures. The integration of deep learning models has facilitated the deve…