Results 51 to 60 of about 1,357,046 (311)

Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images

Sensors, 2023
Medical images are often of huge size, which presents a challenge in terms of memory requirements when training machine learning models. Commonly, the images are downsampled to overcome this challenge, but this leads to a loss of information. We present a general approach for training semantic segmentation neural networks on much smaller input sizes ...
Marin Benčević, Yuming Qiu, Irena Galić, Aleksandra Pižurica   +3 more
openaire   +5 more sources

Neural Word Segmentation with Rich Pretraining

, 2017
Neural word segmentation research has benefited from large-scale raw texts by leveraging them for pretraining character and word embeddings. On the other hand, statistical segmentation research has exploited richer sources of external information, such ...
Dong, Fei, Yang, Jie, Zhang, Yue
core   +1 more source

Speciation Through the Lens of Population Dynamics: A Theoretical Primer on How Small and Large Populations Diverge

Population Ecology, EarlyView.
Population size and dynamics fundamentally shape speciation by influencing genetic drift, founder events, and adaptive potential. Small populations may speciate rapidly due to stronger drift, whereas large populations harbor more genetic diversity, which can alter divergence trajectories. We highlight theoretical models that incorporate population size
Ryo Yamaguchi, Hidaka Kubo, Tokuya Ogawa, Hayate Omura   +3 more
wiley   +1 more source

Analyzing Data Modalities for Cattle Weight Estimation Using Deep Learning Models

Journal of Imaging
We investigate the impact of different data modalities for cattle weight estimation. For this purpose, we collect and present our own cattle dataset representing the data modalities: RGB, depth, combined RGB and depth, segmentation, and combined ...
Hina Afridi, Mohib Ullah, Øyvind Nordbø, Solvei Cottis Hoff, Siri Furre, Anne Guro Larsgard, Faouzi Alaya Cheikh   +6 more
doaj   +1 more source

DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics

Frontiers in Cardiovascular Medicine, 2021
Myocardial strain analysis from cinematic magnetic resonance imaging (cine-MRI) data provides a more thorough characterization of cardiac mechanics than volumetric parameters such as left-ventricular ejection fraction, but sources of variation including ...
Manuel A. Morales, Manuel A. Morales, Maaike van den Boomen, Maaike van den Boomen, Maaike van den Boomen, Christopher Nguyen, Christopher Nguyen, Jayashree Kalpathy-Cramer, Bruce R. Rosen, Bruce R. Rosen, Collin M. Stultz, Collin M. Stultz, Collin M. Stultz, David Izquierdo-Garcia, David Izquierdo-Garcia, Ciprian Catana   +15 more
doaj   +1 more source

Statistical region based active contour using a fractional entropy descriptor: Application to nuclei cell segmentation in confocal microscopy images [PDF]

, 2013
We propose an unsupervised statistical region based active contour approach integrating an original fractional entropy measure for image segmentation with a particular application to single channel actin tagged fluorescence confocal microscopy image ...
Carreiras, F, Histace, A, Matuszewski, Bogdan, Meziou, B J, Murphy, M F, Precioso, F   +5 more
core   +1 more source

FoxO1 signaling in B cell malignancies and its therapeutic targeting

FEBS Letters, EarlyView.
FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac, Petra Pavelkova, Laura Ondrisova, Marek Mraz   +3 more
wiley   +1 more source

A Region-Growing Segmentation Approach to Delineating Timberline from Satellite-Derived Tree Fractional Cover Products

Remote Sensing
Timberline marks the transitions from continuous forests to sparse forests and tundra landscapes. As the spatial distribution and dynamics of timberline are closely associated with regional energy and carbon balance, mapping timberline is important to a ...
Tianqi Zhang, Jitendra Kumar, Forrest M. Hoffman, Valeriy Ivanov, Jingfeng Wang, Aleksey Y. Sheshukov, Wenbo Zhou, Paul Montesano, Desheng Liu   +8 more
doaj   +1 more source

Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images

, 2014
A Semi-supervised Segmentation Fusion algorithm is proposed using consensus and distributed learning. The aim of Unsupervised Segmentation Fusion (USF) is to achieve a consensus among different segmentation outputs obtained from different segmentation ...
Ozay, Mete
core   +1 more source

Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia

FEBS Letters, EarlyView.
This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley   +1 more source