Results 51 to 60 of about 590,345 (318)

LAND USE LAND COVER MAPPING USING UAS IMAGERY: SCENE CLASSIFICATION AND SEMANTIC SEGMENTATION [PDF]

open access: diamond, 2022
Monica Rajkumar   +2 more
openalex   +1 more source

Misperception of Body Weight After Childhood Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Misperception of body weight can negatively impact the weight management efforts of childhood cancer survivors (CCSs). Both being overweight or underweight are associated with chronic health conditions commonly observed in CCS; therefore, accurate weight perception is critical for reducing long‐term health risks.
Fabiën N. Belle   +8 more
wiley   +1 more source

Vitamin D supplementation trials: Navigating the maze of unpredictable results

open access: yesPerspectives in Clinical Research
Vitamin D supplementation studies in various pleiotropic outcomes often yield conflicting results. This complexity arises from various factors, including individual differences (baseline Vitamin D levels, genetics, ethnicity, age, and gender).
Shruti Singh   +6 more
doaj   +1 more source

Tracking Health Related Quality of Life From Diagnosis to Follow‐Up Among Australian Children With Acute Lymphoblastic Leukaemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Acute lymphoblastic leukaemia (ALL) is one of the most treatable forms of paediatric cancer; however, there is a substantial burden of treatment‐related toxicities (TRTs). In addition, the long‐term changes in children's health‐related quality of life (HRQoL) due to toxic treatments are not well understood.
Clare Ghows   +19 more
wiley   +1 more source

Three‐dimensional body composition parameters using automatic volumetric segmentation allow accurate prediction of colorectal cancer outcomes

open access: yesJournal of Cachexia, Sarcopenia and Muscle
Background Parameters obtained from two‐dimensional (2D) cross‐sectional images have been used to determine body composition. However, data from three‐dimensional (3D) volumetric body images reflect real body composition more accurately and may be better
Aiya Bimurzayeva   +15 more
doaj   +1 more source

Investigation of deep learning approaches for automated damage diagnostics in fiber metal laminates using Detectron2 and SAM

open access: yesFrontiers in Artificial Intelligence
The impact damage is one of the major causes of structural failures in Fiber Metal Laminate (FML) plates, which are widely used in the aerospace and automotive industries due to their superior mechanical properties.
Sanjeev Kumar, Stefan Bosse, Chirag Shah
doaj   +1 more source

Subcellular object quantification with Squassh3C and SquasshAnalyst

open access: yesBioTechniques, 2015
Quantitative image analysis plays an important role in contemporary biomedical research. Squassh is a method for automatic detection, segmentation, and quantification of subcellular structures and analysis of their colocalization.
Aurélien Rizk   +3 more
doaj   +1 more source

Clinical, Histopathological, and Molecular Characterization of Pediatric MN1::ZNF341‐Associated Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT A lethal round‐cell malignancy with an MN1::ZNF341 fusion has recently been reported in three infants. Here, we describe four further tumors, three in newborns (including monozygotic twins), and one in an adolescent. Detailed clinical, radiological, and histopathological data differentiate these tumors from their main mimics, neuroblastoma and
Thomas R. W. Oliver   +25 more
wiley   +1 more source

ESC-Track: A computer workflow for 4-D segmentation, tracking, lineage tracing and dynamic context analysis of ESCs

open access: yesBioTechniques, 2017
Embryonic stem cells (ESCs) can be established as permanent cell lines, and their potential to differentiate into adult tissues has led to widespread use for studying the mechanisms and dynamics of stem cell differentiation and exploring strategies for ...
Laura Fernández-de-Manúel   +4 more
doaj   +1 more source

Guiding Automatic Segmentation with Multiple Manual Segmentations [PDF]

open access: yes, 2012
Most image segmentation algorithms are designed to estimate a single segmentation for each image, where the gold standard segmentation is often labeled by a human expert. However, it is common that multiple manual segmentations are available for some images, e.g. independently labeled by different experts.
Hongzhi Wang 0002, Paul A. Yushkevich
openaire   +2 more sources

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