Results 231 to 240 of about 790,123 (309)
Exploring deep features: deeper fully convolutional neural network for image segmentation
Sharif Amit Kamran +2 more
openalex +1 more source
Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH
ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li +10 more
wiley +1 more source
The impact of pre-processing techniques on deep learning breast image segmentation. [PDF]
Catarino J +3 more
europepmc +1 more source
ABSTRACT Objectives Retrograde trans‐synaptic degeneration (rTSD) from posterior visual pathway lesions in multiple sclerosis (MS) is characterized by hemi‐macular ganglion cell‐inner plexiform layer (GCIPL) thinning and contralateral visual field loss.
Abdul Jaber Tayem +17 more
wiley +1 more source
Improved COOT optimization: An approach to multilevel thresholding in image segmentation. [PDF]
Singh S +5 more
europepmc +1 more source
Segmentation of infarcted regions in Perfusion CT images by 3D deep learning
L Tomasetti
openalex +1 more source
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang +8 more
wiley +1 more source
Image segmentation network based on enhanced dual encoder. [PDF]
Wang D, Sun Y, Chen H, Zhao X.
europepmc +1 more source

