Results 11 to 20 of about 104,341 (285)
Nuclear pleomorphism in canine cutaneous mast cell tumors: Comparison of reproducibility and prognostic relevance between estimates, manual morphometry, and algorithmic morphometry [PDF]
Veterinary Pathology-Supplement, 2023 Variation in nuclear size and shape is an important criterion of malignancy for many tumor types; however, categorical estimates by pathologists have poor reproducibility.
Algorithmic Morphometry +21 more
semanticscholar +1 more source
Next-Generation Morphometry for pathomics-data mining in histopathology
Nature Communications, 2023 Pathology diagnostics still rely on tissue morphology assessment by trained experts. Here, the authors perform deep-learning-based segmentation followed by large-scale feature extraction of histological images, i.e., next-generation morphometry, to ...
David L. Hölscher +16 more
semanticscholar +1 more source
Magnetic Resonance in Medical Sciences, 2022 Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical morphology, such as volume, thickness, area, and gyrification, whereas voxel-based morphometry (VBM) is a typical method of gray matter (GM) volumetry that ...
M. Goto +13 more
semanticscholar +1 more source
Accelerate gas diffusion-weighted MRI for lung morphometry with deep learning
European Radiology, 2021 Objectives Multiple b -value gas diffusion-weighted MRI (DW-MRI) enables non-invasive and quantitative assessment of lung morphometry, but its long acquisition time is not well-tolerated by patients.
Caohui Duan +10 more
semanticscholar +1 more source
Frontiers in Aging Neuroscience, 2021 Accurate detection of the regions of Alzheimer's disease (AD) lesions is critical for early intervention to effectively slow down the progression of the disease.
Z. Wu, Yun Peng, M. Hong, Yingchun Zhang
semanticscholar +1 more source
Automated hippocampal unfolding for morphometry and subfield segmentation with HippUnfold
bioRxiv, 2021 Like neocortical structures, the archicortical hippocampus differs in its folding patterns across individuals. Here, we present an automated and robust BIDS-App, HippUnfold, for defining and indexing individual-specific hippocampal folding in MRI ...
J. DeKraker +6 more
semanticscholar +1 more source
Earth and Planetary Science Letters, 2020 We present a systematic, metre-scale characterisation of the 3D morphometry of an esker on Mars, and the first attempt to reconstruct the multi-stage dynamics of esker formation on Mars.
F. Butcher +7 more
semanticscholar +1 more source
Petabyte-Scale Multi-Morphometry of Single Neurons for Whole Brains
Neuroinformatics, 2021 Recent advances in brain imaging allow producing large amounts of 3-D volumetric data from which morphometry data is reconstructed and measured. Fine detailed structural morphometry of individual neurons, including somata, dendrites, axons, and synaptic ...
Shengdian Jiang +13 more
semanticscholar +1 more source
Voxel-based morphometry--the methods.
NeuroImage, 2000 At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the local concentration of gray matter between two groups of subjects.
J. Ashburner, Karl J. Friston
semanticscholar +1 more source
Correlation of Nuclear Morphometry with Clinicopathologic Parameters in Malignant Breast Aspirates
South Asian Journal of Cancer, 2022 Shilpa Garg Background Nuclear size, shape, chromatin pattern, and nucleolar size and number have all been reported to change in breast cancer. Aim The aim of the study was to quantify
Shivani Kalhan +5 more
doaj +1 more source