Results 61 to 70 of about 1,357,046 (311)

Recommendations for the Use of Automated Gray Matter Segmentation Tools: Evidence from Huntington’s Disease

Frontiers in Neurology, 2017
The selection of an appropriate segmentation tool is a challenge facing any researcher aiming to measure gray matter (GM) volume. Many tools have been compared, yet there is currently no method that can be recommended above all others; in particular ...
Eileanoir B. Johnson, Sarah Gregory, Hans J. Johnson, Alexandra Durr, Blair R. Leavitt, Raymund A. Roos, Raymund A. Roos, Geraint Rees, Sarah J. Tabrizi, Rachael I. Scahill   +9 more
doaj   +1 more source

Improved Semantic Segmentation of Tuberculosis—Consistent Findings in Chest X-rays Using Augmented Training of Modality-Specific U-Net Models with Weak Localizations

Diagnostics, 2021
Deep learning (DL) has drawn tremendous attention for object localization and recognition in both natural and medical images. U-Net segmentation models have demonstrated superior performance compared to conventional hand-crafted feature-based methods ...
Sivaramakrishnan Rajaraman, Les R. Folio, Jane Dimperio, Philip O. Alderson, Sameer K. Antani   +4 more
doaj   +1 more source

B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses

FEBS Letters, EarlyView.
B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro, Marco Cellani, Cristina Scielzo   +2 more
wiley   +1 more source

KBNet: A Language and Vision Fusion Multi-Modal Framework for Rice Disease Segmentation

Plants
High-quality disease segmentation plays a crucial role in the precise identification of rice diseases. Although the existing deep learning methods can identify the disease on rice leaves to a certain extent, these methods often face challenges in dealing
Xiaoyangdi Yan, Honglin Zhou, Jiangzhang Zhu, Mingfang He, Tianrui Zhao, Xiaobo Tan, Jiangquan Zeng   +6 more
doaj   +1 more source

Market segmentation and the changing budget hotel industry in urban South Africa

Urbani Izziv, 2013
Market segmentation is a critical driver of change in the hotel industry, resulting in the appearance of differentiated forms of hotel property developments, including budget hotels.
Jayne M. ROGERSON
doaj   +1 more source

Review of segmentation process in consumer markets

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2013
Although there has been a considerable debate on market segmentation over five decades, attention was merely devoted to single stages of the segmentation process.
Veronika Jadczaková
doaj   +1 more source

Deep GrabCut for Object Selection

, 2017
Most previous bounding-box-based segmentation methods assume the bounding box tightly covers the object of interest. However it is common that a rectangle input could be too large or too small. In this paper, we propose a novel segmentation approach that
Cohen, Scott, Huang, Thomas, Price, Brian, Xu, Ning, Yang, Jimei   +4 more
core   +1 more source

Circulating histones as clinical biomarkers in critically ill conditions

FEBS Letters, EarlyView.
Circulating histones are emerging as promising biomarkers in critical illness due to their diagnostic, prognostic, and therapeutic potential. Detection methods such as ELISA and mass spectrometry provide reliable approaches for quantifying histone levels in plasma samples.
José Luis García‐Gimenez, Juan Carlos Ruiz‐Rodríguez, Ricard Ferrer, Raquel Durá, Antonio Artigas, Iván Bajaña, David Bolado López de Andujar, Irene Cánovas‐Cervera, Adrián Ceccato, Luis Chiscano‐Camón, Elena Climent‐Martinez, Georgia García Fernández, Gemma Goma, Verónica Monforte, Beatriz Quevedo‐Sánchez, Adolf Ruiz‐Sanmartín, Antonio Sierra‐Rivera, Nieves Carbonell Monleón   +17 more
wiley   +1 more source

Analyzing Retinal Vessel Morphology in MS Using Interpretable AI on Deep Learning-Segmented IR-SLO Images

Bioengineering
Multiple sclerosis (MS), a chronic disease of the central nervous system, is known to cause structural and vascular changes in the retina. Although optical coherence tomography (OCT) and fundus photography can detect retinal thinning and circulatory ...
Asieh Soltanipour, Roya Arian, Ali Aghababaei, Fereshteh Ashtari, Yukun Zhou, Pearse A. Keane, Raheleh Kafieh   +6 more
doaj   +1 more source

An Alarm System For Segmentation Algorithm Based On Shape Model

, 2019
It is usually hard for a learning system to predict correctly on rare events that never occur in the training data, and there is no exception for segmentation algorithms. Meanwhile, manual inspection of each case to locate the failures becomes infeasible
Liu, Fengze, Xia, Yingda, Xu, Daguang, Yang, Dong, Yuille, Alan   +4 more
core   +1 more source