Results 41 to 50 of about 1,657,044 (242)

Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology.

PLoS ONE, 2023
Robust semantic segmentation of tumour micro-environment is one of the major open challenges in machine learning enabled computational pathology. Though deep learning based systems have made significant progress, their task agnostic data driven approach ...
Nirmal Das, Satadal Saha, Mita Nasipuri, Subhadip Basu, Tapabrata Chakraborti   +4 more
doaj   +1 more source

Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli, Karine Lacourse, Hélène Blais, Anne‐Sophie Deshaies‐Rugama, Cynthia Thompson, Alex Desautels, Jacques Montplaisir, Milan Nigam, Christophe Moderie, Boshra Khajehpiri, Catherine Duclos, Jean Marc Lina, Julie Carrier, Nadia Gosselin   +13 more
wiley   +1 more source

Research on the Effect of Micro-Segmentation Products in Suppressing Lateral Movement Based on the Idea of Attack Surface Measurement

IEEE Access
The escalating threat of lateral movement within networks presents a significant challenge, compounded by the slow progress in the standardization of micro-segmentation products. In response, this study introduces a novel evaluation framework grounded in
Wei Xiang, Li Qian, Lai Jing
doaj   +1 more source

Unsupervised morphological segmentation of tissue compartments in histopathological images. [PDF]

PLoS ONE, 2017
Algorithmic segmentation of histologically relevant regions of tissues in digitized histopathological images is a critical step towards computer-assisted diagnosis and analysis.
Shereen Fouad, David Randell, Antony Galton, Hisham Mehanna, Gabriel Landini   +4 more
doaj   +1 more source

Microvascular Damage Is Associated With Carotid Wall Structural Changes in Systemic Sclerosis: A Capillaroscopy and Ultrasound‐Based Observational Study

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) is characterized by cardiovascular risk excess not fully explained by traditional factors. Whether the severity of microvascular damage correlates with structural subclinical atherosclerosis remains unclear. We investigated the relationship between nailfold videocapillaroscopy (NVC) abnormalities and carotid ...
Eugenio Capparelli, Luca Clerici, Francesco Lapia, Giusy C. Moltisanti, Eleonora Zaccara, Greta Pellegrino, Daniela Bompane, Francesca Capelli, Letizia Ferrami, Laura Castelnovo, Antonio Tamburello, Maria Sole Chimenti, Paola Faggioli, Antonino Mazzone   +13 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Evaluating the Effectiveness of Zero Trust Architecture in Protecting Against Advanced Persistent Threats

Advances in Distributed Computing and Artificial Intelligence Journal
As a paradigm shift in network security, the idea of Zero Trust Architecture has attracted a lot of attention recently. This study intends to investigate the assessment and application of Zero Trust Architecture in business networks. Network segmentation,
Pushpendra Kumar Verma, Bharat Singh, Preety, Shubham Kumar Sharma, Rakesh Prasad Joshi   +4 more
doaj   +1 more source

High-Throughput in situ Root Image Segmentation Based on the Improved DeepLabv3+ Method

Frontiers in Plant Science, 2020
The Rhizotrons method is an important means of detecting dynamic growth and development phenotypes of plant roots. However, the segmentation of root images is a critical obstacle restricting further development of this method.
Chen Shen, Liantao Liu, Lingxiao Zhu, Jia Kang, Nan Wang, Limin Shao   +5 more
doaj   +1 more source

Low-dose micro-CT imaging for vascular segmentation and analysis using sparse-view acquisitions. [PDF]

PLoS ONE, 2013
The aim of this study is to investigate whether reliable and accurate 3D geometrical models of the murine aortic arch can be constructed from sparse-view data in vivo micro-CT acquisitions.
Bert Vandeghinste, Stefaan Vandenberghe, Chris Vanhove, Steven Staelens, Roel Van Holen   +4 more
doaj   +1 more source

Microc alcification Segmentation Using Modified U-net Segmentation Network from Mammogram Images

Journal of King Saud University: Computer and Information Sciences, 2022
Breast cancer is the most common aggressive cancer in women while the early detection of this cancer can reduce the aggressiveness. But it is challenging to identify breast cancer features such as micro-calcification from mammogram images by the human ...
Md Shamim Hossain
doaj   +1 more source