Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans.
Sign Up to like & getrecommendations! Published in 2020 at "JAMA ophthalmology"
DOI: 10.1001/jamaophthalmol.2019.5983
Abstract: Importance Conventional segmentation of the retinal nerve fiber layer (RNFL) is prone to errors that may affect the accuracy of spectral-domain optical coherence tomography (SD-OCT) scans in detecting glaucomatous damage. Objective To develop a segmentation-free… read more here.
Keywords: glaucoma; segmentation; segmentation free; rnfl thickness ... See more keywords
DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3235826
Abstract: Unconstrained handwritten text recognition is a challenging computer vision task. It is traditionally handled by a two-step approach, combining line segmentation followed by text line recognition. For the first time, we propose an end-to-end segmentation-free… read more here.
Keywords: recognition; document recognition; segmentation; segmentation free ... See more keywords