Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance images.
Sign Up to like & getrecommendations! Published in 2020 at "Oral oncology"
DOI: 10.1016/j.oraloncology.2020.104862
Abstract: OBJECTIVES We aimed to develop a dual-task model to detect and segment nasopharyngeal carcinoma (NPC) automatically in magnetic resource images (MRI) based on deep learning method, since the differential diagnosis of NPC and atypical benign… read more here.
Keywords: segmentation; model; nasopharyngeal carcinoma; self constrained ... See more keywords
Using Laser Altimetry to Finely Map the Permanently Shadowed Regions of the Lunar South Pole Using an Iterative Self-Constrained Adjustment Strategy
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3204765
Abstract: Laser altimeters are capable of achieving fine mapping of the permanently shadowed regions (PSRs) of the Moon, which can provide fundamental topographic data for planetary missions. However, various factors can cause uncertainty in the geolocation… read more here.
Keywords: laser; shadowed regions; constrained adjustment; permanently shadowed ... See more keywords
Self-Constrained Spectral Clustering
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3188160
Abstract: As a leading graph clustering technique, spectral clustering is one of the most widely used clustering methods to capture complex clusters in data. Some additional prior information can help it to further reduce the difference… read more here.
Keywords: prior information; constrained spectral; spectral clustering; self constrained ... See more keywords