Thyroid follicles were automatically identified on H&E - stained thyroid sections
using image segmentation and analysis software.
(G and H) Muscle fibers were automatically identified on H&E - stained sections of quadriceps femoris muscle of the 16 - month (G; young control, n = 786 muscle fibers from 5 mice; vehicle, n = 534 muscle fibers from 6 mice; rapamycin, n = 600 muscle fibers from 8 mice) and 25 - month (H; young control, n = 330 muscle fibers from 6 mice; vehicle, n = 741 muscle fibers from 4 mice; rapamycin, n = 1,371 muscle fibers from 5 mice) cohorts
using image segmentation and analysis software.
Not exact matches
Looking ahead, he posits, «With advancement of
image - registration /
segmentation software and PET / MRI scanners, it is quite logical to predict that in the future PET
images and SUVmax on a suspicious lesion in the prostate will be
used for multimodal
image - guided fusion biopsy.»
Specifically, the voxels corresponding to striatum (caudate, putamen, and ventral striatum) and thalamus were defined in the MNI stereotactic space
using the Automated Anatomical Labeling atlas (41); thresholding, the simplest method of
image segmentation, was
used to identify midbrain voxels on a T1 - weighted
image (ch2.img; an average of 27 T1 - weighted scans of the same individual that is included in the MRIcro template folder).
Most data types for the Human Cell Atlas will require some processing to support the majority of downstream
use cases (e.g. alignment and demultiplexing for single - cell RNA sequencing, detection and
segmentation for
image - based transcriptomics).
(b) Reconstructed
image using time - consuming manual
segmentation — note missing data (arrow).
Image processing was performed by
using Medical
Image Display and Analysis Software.15 Brains were spatially normalized into Montreal Neurological Institute 305 atlas space16 with a 6 - df registration (3 translations, 3 rotations) to reduce the variability in landmark - derived arbitrary cutoffs
used in the
segmentation protocols.
J.S. Athertya, G. Saravana Kumar, «Automatic
segmentation of vertebral contours from CT
images using fuzzy corners» [Comput.
Jiang
uses video, painting, photography, installation, writing and other mediums, blurring the boundaries between fictional documentary, mediated
images and private narratives to reveal the intersections and
segmentations between the body, desire and emotion of different individual and its representation or imagination in contemporary society.
Unlike most flagship models from competitors that rely on dual camera setups, its latest model
uses semantic
image segmentation to categorize each pixel of the photo.
The new Pixel phones
used a Google exclusive «semantic
image segmentation model» called DeepLab - v3 +, which is now released on open - source software library TensorFlow.