Results 41 to 50 of about 36,582 (263)

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

Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing

Advanced Engineering Materials, EarlyView.
This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu, Xun Zhang, Jack M. Donoghue, Albert D. Smith, Rahul Unnikrishnan, Rhys Thomas, Vahid Nekouie, Jie Luo, Dongchen Hu, Michael Preuss, Philip J. Withers   +10 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

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

Assessing the transferability of micro-computed tomography (CT)-based plaque segmentation to clinical CT using super-resolution: Limits and emerging perspectives

JVS - Vascular Science
Noninvasive plaque characterization remains limited in peripheral arterial obstructive disease (PAOD), whereas ex vivo micro-computed tomography (micro-CT) enables quasihistological assessment.
Salomé H. Kuntz, MD, PhD, Katherine Morales, PhD, Hugo Gangloff, PhD, Yohan Petetin, PhD, Anne Lejay, MD, PhD, Nabil Chakfé, MD, PhD   +5 more
doaj   +1 more source

Micro-segmented flow and multisensor-technology for microbial activity profiling

Environ. Sci.: Processes Impacts, 2014
The combination of micro-segmented flow with miniaturized flow-through multisensor-technology has been utilized for metabolite profiling of soil bacteria. Series of sub-μl segments were generated containing soil sample slurry from historic copper mining sites and exposed to heavy metal salts of copper and nickel.
Dana, Kürsten, Erika, Kothe, Katharina, Wetzel, Katja, Bergmann, J Michael, Köhler   +4 more
openaire   +3 more sources

Micro-segmental hair analysis: detailed procedures and applications in forensic toxicology

Forensic Toxicology, 2022
Abstract Purpose Since the 1980s, the detection sensitivity of mass spectrometers has increased by improving the analysis of drugs in hair. Accordingly, the number of hair strands required for the analysis has decreased. The length of the hair segment used in the analysis has also shortened. In 2016, micro-segmental hair
Kenji Kuwayama, Hajime Miyaguchi, Tatsuyuki Kanamori, Kenji Tsujikawa, Tadashi Yamamuro, Hiroki Segawa, Yuki Okada, Yuko T. Iwata   +7 more
openaire   +2 more sources

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Enhanced Deep Neural Network for Prostate Segmentation in Micro-Ultrasound Images

Sensors
Prostate cancer is a global health concern, and early diagnosis plays a vital role in improving the survival rate. Accurate segmentation is a key step in the automated diagnosis of prostate cancer; however, manual segmentation remains time-consuming and ...
Ahmed AL-Qurri, Asem Thaher, Mohamed Khaled Almekkawy   +2 more
doaj   +1 more source

Enhancing Network Security through Micro-Segmentation

, 2023
Micro-segmentation is the latest cyber security approach to mitigate Lateral movements and Vulnerabilities in the Network Infrastructure of the Organization. Through the Micro-segmentation strategy, the Network security is divided into different segments, which help in Micromanaging and monitoring the various components in the Organization's Network ...
openaire   +1 more source