2 papers
cs.CV2026
Stringalign: Moving beyond summary statistics with a transparent Unicode-aware tool for evaluating automatic transcription models
Yngve Mardal Moe, Marie Roald
Comparing text strings is crucial when evaluating and understanding the performance of various text processing tasks such as document recognition and audio transcription. With an i…
eess.IV2019
Deep learning for automatic tumour segmentation in PET/CT images of patients with head and neck cancers
Yngve Mardal Moe, Aurora Rosvoll Groendahl, Martine Mulstad +5
An automatic segmentation algorithm for delineation of the gross tumour volume and pathologic lymph nodes of head and neck cancers in PET/CT images is described. The proposed algor…