Výsledky vyhledávání - "segmentation algorithms"

A Review of Advanced Deep Learning Methods of Multi-Target Segmentation for Breast Cancer WSIs

Autoři: Qiaoyi Xu Afzan Adam Azizi Abdullah a další

Zdroj: IEEE Access, Vol 13, Pp 76016-76037 (2025)

Témata: Breast cancer, whole slide images, segmentation algorithms, deep learning, Electrical engineering. Electronics. Nuclear engineering, digital pathology, multi-target segmentation, TK1-9971

Přístupová URL adresa: https://doaj.org/article/1d333ff02cfc4d1c98a698ba6bf43f1e

Enhanced Online Segmentation and Performance Evaluation Method for Real-Time Activity Recognition in Smart Homes

Autoři: Ramadan, Abbas Saïd, Farida de Lamotte, Florent Frizon

Přispěvatelé: Ramadan, Abbas Saïd, Farida de Lamotte, Florent Frizon

Zdroj: 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). :1-8

Témata: IoT Data, Spatiotemporal Segmentation, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Smart Home, Dynamic Segmentation Algorithms, Activity of Daily Living, Human Activity Recognition, [INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET], [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Real-time Activity Recognition, [INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering

Přístupová URL adresa: https://hal.science/hal-04847233v1
https://doi.org/10.1109/bhi62660.2024.10913787

Driveway Detection for Weed Management in Cassava Plantation Fields in Thailand Using Ground Imagery Datasets and Deep Learning Models

Autoři: Ithiphat Opasatian Tofael Ahamed

Zdroj: AgriEngineering, Vol 6, Iss 3, Pp 3408-3426 (2024)

Témata: Agriculture (General), TA1-2040, image segmentation algorithms, ground remote sensing, Engineering (General). Civil engineering (General), cassava, S1-972

Přístupová URL adresa: https://doaj.org/article/08b47c5286a5435d91d772027532aa69

Methods of medical image segmentation analysis to improve the effectiveness of diagnosing lung diseases

Autoři: Zbigniew Orzeł Amelia Kosior-Romanowska Piotr Bednarczuk

Zdroj: Journal of Modern Science, Vol 57, Iss 3, Pp 609-621 (2024)

Témata: segmentation algorithms, thresholding with maximum entropy, medical imaging, 0202 electrical engineering, electronic engineering, information engineering, Social Sciences, ct data analysis, 02 engineering and technology, efficiency of diagnosis

Přístupová URL adresa: https://doaj.org/article/2c5f46d2c29e433da7f9e30c3bb4ce99

On the Construction of Elastic Degenerate Strings

Autoři: Rizzo, Nicola Mäkinen, Veli Pisanti, Nadia a další

Přispěvatelé: Rizzo, Nicola Mäkinen, Veli Pisanti, Nadia a další

Témata: dynamic programming, founder reconstruction, semi-dynamic range minimum queries, data structures, Computer and information sciences, pattern matching, positional Burrows–Wheeler transform, segmentation algorithms, multiple sequence alignment, ddc:004, positional Burrows-Wheeler transform

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10138/600577
https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.Grossi.2

Optimisation of the Computer Image Analysis Method for Evaluating the Quality of Bread With Added Acorn Flour

Autoři: Jukić, Marko Koceva Komlenić, Daliborka Lukinac Čačić, Jasmina a další

Témata: image analysis, segmentation algorithms, acorn flour, gluten-free bread, bread quality

Přístupová URL adresa: https://acornfoodworkshop.itu.edu.tr/assets/presentations/Proceedings_978-975-561-571-4.pdf

Segmentation performance for all images of the datasets used in the experiments.

Autoři: Matheus Viana da Silva Natália de Carvalho Santos Julie Ouellette a další

Témata: Cell Biology, Genetics, Biotechnology, Cancer, Space Science, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, +creating%22">xlink "> creating, poor inference quality, available metadata information, training sets lead, neural networks trained, datasets traditionally used, selecting relevant samples, image acquisition process, good contrast leads, base dataset using, training samples results, training samples used, neural network, four samples, considering samples, vessmap dataset, usually required, single image, several hours, segmentation algorithms, possible changes, new dataset, might affect

Relation: https://figshare.com/articles/journal_contribution/Segmentation_performance_for_all_images_of_the_datasets_used_in_the_experiments_/29160075

Dostupnost: https://doi.org/10.1371/journal.pone.0322048.s002
https://figshare.com/articles/journal_contribution/Segmentation_performance_for_all_images_of_the_datasets_used_in_the_experiments_/29160075

Supplementary notes.

Autoři: Matthias Bruhns Jan T. Schleicher Maximilian Wirth a další

Témata: Biophysics, Biochemistry, Cell Biology, Genetics, Molecular Biology, Physiology, Developmental Biology, Space Science, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, uses affine transformations, smaller neighborhood sizes, generate expression profiles, controlled perturbation conditions, defines cell boundaries, cell imaging technologies, segmentation inaccuracies propagate, segmentation error leading, considering segmentation inaccuracies, mitigate spurious results, accurate cell segmentation, probabilistic modeling framework, downstream analysis tasks, cell level, segmentation errors, segmentation algorithms, quality segmentation, results highlight, variations induced

Relation: https://figshare.com/articles/journal_contribution/Supplementary_notes_/30131664

Dostupnost: https://doi.org/10.1371/journal.pcbi.1013350.s001
https://figshare.com/articles/journal_contribution/Supplementary_notes_/30131664

The determination of optimum segmentation parameters using genetic algorithms: Application to different segmentation algorithms and transmission electron microscopy tomography reconstructed volumes

Autoři: Roberto Fernandez Martinez Ana Okariz Maider Iturrondobeitia a další

Zdroj: Addi. Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco

Témata: segmentation algorithms, segmentation, microscopy, characterization, TEM tomography, optimization techniques, mutual information, genetic algorithms

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36924345
http://hdl.handle.net/10810/66929

Algorithms and Complexity on Indexing Founder Graphs

Autoři: Equi, Massimo Norri, Tuukka Alanko, Jarno a další

Přispěvatelé: Equi, Massimo Norri, Tuukka Alanko, Jarno a další

Zdroj: Algorithmica

Témata: Segmentation algorithms, FOS: Computer and information sciences, Computer and information sciences, Pangenomics, E.1, E.4, F.1.3, F.2.2, Compressed data structures, 0206 medical engineering, 0102 computer and information sciences, 02 engineering and technology, [INFO] Computer Science [cs], Computational Complexity (cs.CC), 01 natural sciences, Computational complexity, Computer Science - Computational Complexity, Computer Science - Data Structures and Algorithms, String matching, Data Structures and Algorithms (cs.DS), Multiple sequence alignment, Graph algorithms

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2102.12822
http://hdl.handle.net/10138/563425
https://hal.science/hal-03934245v1/document
https://doi.org/10.1007/s00453-022-01007-w
https://hal.science/hal-03934245v1

Segmentation and classification algorithms applied to sentinel-2A images for geological mapping: case of the Al Glo'a sheet (1/50000), Morocco

Autoři: EL ATILLAH, Abdessamad EL ATILLAH, Mouhssine EL MORJANI, Zine El Abidine a další

Zdroj: Bulletin of the Mineral Research and Exploration, Vol 166, Iss 166, Pp 113-125 (2021)
Volume: 166, Issue: 166 113-125
Maden Tetkik ve Arama Dergisi
Bulletin of the Mineral Research and Exploration

Témata: Engineering, sentinel 2a, Segmentation Algorithms, Classification Algorithms, Sentinel 2A, GeologicalMapping, Anti-Atlas, segmentation algorithms, classification algorithms, Mühendislik, geological mapping, anti-atlas, Mineralogy, 01 natural sciences, QE351-399.2, 0105 earth and related environmental sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/ce3158f21013437a8cdc349657c25d85
https://dergipark.org.tr/tr/pub/bulletinofmre/issue/64214/864492

Lightweight smoke segmentation algorithm based on improved DeepLabV3+

Autoři: CHEN Xin HOU Qingshan FU Yan a další

Zdroj: Xi'an Gongcheng Daxue xuebao, Vol 37, Iss 4, Pp 118-126 (2023)

Témata: deep learning, segmentation algorithms, deeplabv3+ algorithms, fire smoke, convolutional block attention module, Materials of engineering and construction. Mechanics of materials, TA401-492, Environmental engineering, TA170-171

Popis souboru: electronic resource

Relation: http://journal.xpu.edu.cn/en/#/digest?ArticleID=1356; https://doaj.org/toc/1674-649X

Přístupová URL adresa: https://doaj.org/article/20b5ca55ddcf4da58e991eddcbccb1a3

Image segmentation with Cellular Automata

Autoři: Cesar Ascencio-Piña Sonia García-De-Lira Erik Cuevas a další

Zdroj: Heliyon, Vol 10, Iss 10, Pp e31152- (2024)

Témata: Cellular automata, Image processing, Scientific computing, Noise reduction, Segmentation algorithms, Science (General), Q1-390, Social sciences (General), H1-99

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024071834; https://doaj.org/toc/2405-8440

Přístupová URL adresa: https://doaj.org/article/1b84b1ec70d446ed9fa741b81566de43

Deep Learning for Weed Detection and Segmentation in Agricultural Crops Using Images Captured by an Unmanned Aerial Vehicle

Autoři: Josef Augusto Oberdan Souza Silva Vilson Soares de Siqueira Marcio Mesquita a další

Zdroj: Remote Sensing, Vol 16, Iss 23, p 4394 (2024)

Témata: remote sensing, agricultural crops, Detectron2, Mask R-CNN, precision agriculture, segmentation algorithms, Science

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/23/4394; https://doaj.org/toc/2072-4292

Přístupová URL adresa: https://doaj.org/article/d21377af4bcf46e0baaaf7b6b67d8c13

CoSeNet: a novel approach for optimal segmentation of correlation matrices

Autoři: Palomo Alonso, Alberto Casillas Pérez, David Jiménez Fernández, Silvia a další

Přispěvatelé: Palomo Alonso, Alberto Casillas Pérez, David Jiménez Fernández, Silvia a další

Témata: Correlation matrices, Segmentation algorithms, Multi-algorithm architecture, Metaheuristic optimization, Machine learning, Telecomunicaciones, Telecommunications

Popis souboru: application/pdf

Relation: https://doi.org/10.1016/j.dsp.2023.104270; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115454GB-C21/ES/NUEVOS ALGORITMOS NEURO-EVOLUTIVOS PARA CLASIFICACION ORDINAL: APLICACIONES EN CLIMA, ENERGIAS LIMPIAS Y MEDIO AMBIENTE/; http://hdl.handle.net/10017/60814; AR/0000044912; Digital Signal Processing; 144; 16

Dostupnost: http://hdl.handle.net/10017/60814
https://doi.org/10.1016/j.dsp.2023.104270

Automatic lung segmentation in COVID-19 patients: Impact on quantitative computed tomography analysis

Autoři: Berta L. Rizzetto F. De Mattia C. a další

Zdroj: Phys Med

Témata: Computed tomography, COVID-19, Lung segmentation, QCT, Quantitative imaging, Segmentation algorithms, Original Paper, 03 medical and health sciences, 0302 clinical medicine, SARS-CoV-2, Image Processing, Computer-Assisted, Humans, Neural Networks, Computer, Tomography, X-Ray Computed, Lung, Algorithms, 3. Good health

Popis souboru: application/pdf

Přístupová URL adresa: http://www.physicamedica.com/article/S1120179721002210/pdf
https://pubmed.ncbi.nlm.nih.gov/34139383
https://pubmed.ncbi.nlm.nih.gov/34139383/
https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/en/covidwho-1260715
https://www.sciencedirect.com/science/article/pii/S1120179721002210
https://www.ncbi.nlm.nih.gov/pubmed/34139383
https://hdl.handle.net/2434/1061329
https://doi.org/10.1016/j.ejmp.2021.06.001

AEPRD: An Enhanced Algorithm for Predicting Results of Orthodontic Operations

Autoři: Ammar Thaher Yaseen Al Abd Alazeez Thaher Al Abd Alazeez

Zdroj: مجلة التربية والعلم, Vol 30, Iss 1, Pp 173-190 (2021)

Témata: segmentation algorithms, ،,؛image analysis, Q1-390, 03 medical and health sciences, Science (General), 0302 clinical medicine, ،,؛image prediction algorithms, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Education

Přístupová URL adresa: https://edusj.mosuljournals.com/article_166946_549a956a5b3413d027c2367cd4d86160.pdf
https://doaj.org/article/8933901775654c78a4025e0d4fc3ded3
https://edusj.mosuljournals.com/article_166946.html
https://edusj.mosuljournals.com/article_166946_549a956a5b3413d027c2367cd4d86160.pdf

Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study

Autoři: Ribaldi, Federica Altomare, Daniele Jovicich, Jorge a další

Přispěvatelé: Ribaldi, Federica Altomare, Daniele Jovicich, Jorge a další

Zdroj: Ribaldi, F, Altomare, D, Jovicich, J, Ferrari, C, Picco, A, Pizzini, F B, Soricelli, A, Mega, A, Ferretti, A, Drevelegas, A, Bosch, B, Müller, B W, Marra, C, Cavaliere, C, Bartrés-Faz, D, Nobili, F, Alessandrini, F, Barkhof, F, Gros-Dagnac, H, Ranjeva, J-P, Wiltfang, J, Kuijer, J, Sein, J, Hoffmann, K-T, Roccatagliata, L, Parnetti, L, Tsolaki, M, Constantinidis, M, Aiello, M, Salvatore, M, Montalti, M, Caulo, M, Didic, M, Bargallo, N R, Blin, O, Rossini, P M, Schonknecht, P, Floridi, P, Payoux, P, Visser, P J, Bordet, R G, Lopes, R, Tarducci, R, Bombois, S, Hensch, T, Fiedler, U, Richardson, J C, Frisoni, G B & Marizzoni, M 2021, 'Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study', Magnetic Resonance Imaging, vol. 76, pp. 108-115. https://doi.org/10.1016/j.mri.2020.11.008

Témata: Adult, Male, Aging, Medizin, 618.97, Automation, 03 medical and health sciences, 0302 clinical medicine, White matter hyperintensities, Image Processing, Computer-Assisted, Humans, Lesion segmentation toolbox, Accuracy, Automated segmentation algorithms, Reproducibility, Reproducibility of Results, Magnetic Resonance Imaging, White Matter, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Cross-Sectional Studies, Image Processing, Computer-Assisted / methods, White Matter / diagnostic imaging, White Matter / pathology, Algorithms, Female

Popis souboru: application/pdf

Přístupová URL adresa: https://discovery.ucl.ac.uk/10116936/3/Barkhof_Ribaldi.pdf
https://pubmed.ncbi.nlm.nih.gov/33220450
https://moh-it.pure.elsevier.com/en/publications/accuracy-and-reproducibility-of-automated-white-matter-hyperinten
https://www.sciencedirect.com/science/article/pii/S0730725X20306433
https://publicatt.unicatt.it/handle/10807/179168
https://ikee.lib.auth.gr/record/325511/
https://pubmed.ncbi.nlm.nih.gov/33220450/
https://www.ncbi.nlm.nih.gov/pubmed/33220450
https://research.vumc.nl/en/publications/3b9e50bf-3952-4a61-91c1-4a974ae6ecbb
https://resolver.sub.uni-goettingen.de/purl?gro-2/83236
https://amu.hal.science/hal-03500597v1
https://doi.org/10.1016/j.mri.2020.11.008
https://amu.hal.science/hal-03500597v1/document
https://hdl.handle.net/11379/595290
https://doi.org/10.1016/j.mri.2020.11.008
https://discovery-pp.ucl.ac.uk/id/eprint/10116936/

Indexable Elastic Founder Graphs of Minimum Height

Autoři: Rizzo, Nicola Mäkinen, Veli Bannai, Hideo a další

Přispěvatelé: Rizzo, Nicola Mäkinen, Veli Bannai, Hideo a další

Témata: Computer and information sciences, multiple sequence alignment, pattern matching, data structures, segmentation algorithms, dynamic programming, suffix tree

Popis souboru: application/pdf

Relation: 33rd Annual Symposium on Combinatorial Pattern Matching (CPM 2022); Leibniz International Proceedings in Informatics (LIPIcs); conference; http://hdl.handle.net/10138/353005; 85131936401

Dostupnost: http://hdl.handle.net/10138/353005

Using the Unsupervised Mixture of Gaussian Models for Multispectral Non-destructive Evaluation of the Replica of Botticelli’s 'The Birth of Venus'

Autoři: Li, Q Zhang, H Hu, J a další

Přispěvatelé: Li, Q Zhang, H Hu, J a další

Zdroj: Journal of Nondestructive Evaluation. 42

Témata: Non destructive testing, Segmentation algorithms, Gaussian modeling, Physique, Mechanical Engineering, Physics, Physique, chimie, mathématiques & sciences de la terre, Non-destructive testing, Cultural heritage, Painting, Infrared thermography, Image processing, Terahertz, Machine learning, Cultural heritages, Background segmentation, Images processing, Mixture of Gaussians, Physical, chemical, mathematical & earth Sciences, Mechanics of Materials, Terahertz time-domain spectroscopy, Tera Hertz, Machine-learning

Přístupová URL adresa: https://hdl.handle.net/2268/308105
https://doi.org/10.1007/s10921-023-00947-9
https://hdl.handle.net/11697/204982
https://doi.org/10.1007/s10921-023-00947-9
https://link.springer.com/article/10.1007/s10921-023-00947-9#citeas