Comparing Segmentation Algorithms in Medical Diagnostics Using Thermal Imaging

Authors: Rani, Reenu, Bhagat, Siddhant, Devansh

Source: 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit) Artificial Intelligence and Emerging Technology (Global AI Summit), 2024 International Conference on. :1309-1314 Sep, 2024

Relation: 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit)

Medical Image Segmentation Algorithm Based on Deep Learning and Convolutional Neural Network

Authors: Gao, Qi

Source: 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS) Integrated Circuits and Communication Systems (ICICACS), 2023 IEEE International Conference on. :01-05 Feb, 2023

Relation: 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)

A Multi-level Deep Network Algorithm For Image Segmentation In Coal Mine Operation Scenarios

Authors: Liu, Haoze, Zhang, Jianxin, Qie, Jiating, Zhang, Xintao

Source: 2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST) Science and Technology Innovation (IAECST), 2022 4th International Academic Exchange Conference on. :1069-1074 Dec, 2022

Relation: 2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST)

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

Authors: Ithiphat Opasatian, Tofael Ahamed

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

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

Access URL: https://doaj.org/article/08b47c5286a5435d91d772027532aa69

A study and comparison of different image segmentation algorithms

Authors: Kumar, Vinod, Lal, Tauj, Dhuliya, Piyush, Pant, Diwaker

Source: 2016 2nd International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Fall) Advances in Computing, Communication, & Automation (ICACCA) (Fall), International Conference on. :1-6 Sep, 2016

Relation: 2016 2nd International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Fall)

Archimedes optimizer-based fast and robust fuzzy clustering for noisy image segmentation

Authors: Dhal, Krishna Gopal, Das, Arunita, Ray, Swarnajit, Rai, Rebika^{Aff3, IDs1122702204769w_cor4}, Ghosh, Tarun Kumar

Source: The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use. 79(4):3691-3730

Reconstruction of Markov Random Fields from Samples: Some Observations and Algorithms

Authors: Bresler, Guy, Mossel, Elchanan, Sly, Allan

Source: Lecture Notes in Computer Science ISBN: 9783540853626

Subject Terms: Local interactions, Multiplicative constants, Underlying graphs, Markov processes, 4. Education, 0206 medical engineering, 02 engineering and technology, 01 natural sciences, Independent samples, Correlation decay, SIMPLE algorithm, Keywords: Dependency structures, Generating models, Markov Random Fields, 0103 physical sciences, Image segmentation Algorithms, Algorithms

Access URL: http://www.stanford.edu/~montanar/TEACHING/Stat375/papers/learning2.pdf
https://digitalcollections.anu.edu.au/handle/1885/23761
https://openresearch-repository.anu.edu.au/handle/1885/23761
https://collaborate.princeton.edu/en/publications/reconstruction-of-markov-random-fields-from-samples-some-observat
https://epubs.siam.org/doi/abs/10.1137/100796029
https://web.stanford.edu/~montanar/TEACHING/Stat375/papers/learning2.pdf
https://rd.springer.com/chapter/10.1007/978-3-540-85363-3_28
https://link.springer.com/chapter/10.1007/978-3-540-85363-3_28
https://collaborate.princeton.edu/en/publications/reconstruction-of-markov-random-fields-from-samples-some-observat-2
https://dblp.uni-trier.de/db/journals/corr/corr0712.html#abs-0712-1402
https://link.springer.com/content/pdf/10.1007%2F978-3-540-85363-3_28.pdf

Tissue segmentation: a crucial tool for quantitative MRI and visualization of anatomical structures

Authors: Schick, Fritz

Source: Magnetic Resonance Materials in Physics, Biology and Medicine: Official Journal of the European Society for Magnetic Resonance in Medicine and Biology. April 2016 29(2):89-93

Automated stable region generation, detection, and representation for applications to mission design

Authors: Nakhjiri, Navid, Villac, Benjamin

Source: Celestial Mechanics and Dynamical Astronomy: An International Journal of Space Dynamics. September 2015 123(1):63-83

Evaluation of image segmentation approaches for non-destructive detection and quantification of corrosion damage on stonework

Authors: Μαραβελακη Παγωνα(http://users.isc.tuc.gr/~pmaravelaki), Maravelaki Pagona-Noni(http://users.isc.tuc.gr/~pmaravelaki), Ζερβακης Μιχαηλ(http://users.isc.tuc.gr/~mzervakis), Zervakis Michail(http://users.isc.tuc.gr/~mzervakis), Kapsalas P.()

Subject Terms: Image segmentation algorithms, Statistical tests, Performance evaluation, Stone decay, Black crust

Relation: info:eu-repo/grantAgreement/EC/FP7/246686; http://purl.tuc.gr/dl/dias/55C4C19B-AC59-42B2-A791-6173B02DB1C2

Availability: http://purl.tuc.gr/dl/dias/55C4C19B-AC59-42B2-A791-6173B02DB1C2

Evaluation of image segmentation approaches for non-destructive detection and quantification of corrosion damage on stonework

Authors: Kapsalas, P. ^a, Zervakis, M. ^{a, ⁎}, Maravelaki-Kalaitzaki, P. ^b

Source: In Corrosion Science 2007 49(12):4415-4442

Timeslice Segmentation Script

Authors: Luis Rees-Hughes (5348516)

Subject Terms: Geophysics, Ground-penetrating radar (GPR), image segmentation algorithms

Relation: https://figshare.com/articles/software/Timeslice_Segmentation_Script/12706262

Availability: https://doi.org/10.6084/m9.figshare.12706262.v2

Biomedical Image Segmentation and Object Detection Using Deep Convolutional Neural Networks

Authors: Liming Wu

Subject Terms: Digital processor architectures, Other information and computing sciences not elsewhere classified, deep learning, image segmentation algorithms, object detection algorithms, biomedical image processing, Computer Engineering

Relation: https://figshare.com/articles/thesis/Biomedical_Image_Segmentation_and_Object_Detection_Using_Deep_Convolutional_Neural_Networks/8051702

Availability: https://doi.org/10.25394/pgs.8051702.v1

Deep Learning based Anomaly Detection

Authors: Sun, Le, He, Jinyuan, Yin, Xiaoxia, Zhang, Yanchun, Chen, Jeon-Hor, Kron, Tomas, Su, Min-Ying

Subject Terms: 0805 Distributed Computing, 1112 Oncology and Carcinogenesis, College of Science and Engineering, magnetic resonance imaging, MRI, breast cancer diagnosis, breast tumor, image segmentation algorithms, breast tumor extraction

Relation: https://vuir.vu.edu.au/41093/; https://doi.org/10.3966/199115992018122906014; Sun, Le ORCID logoorcid:0000-0002-4221-0327 , He, Jinyuan, Yin, Xiaoxia, Zhang, Yanchun ORCID logoorcid:0000-0002-5094-5980 , Chen, Jeon-Hor, Kron, Tomas and Su, Min-Ying (2018) Deep Learning based Anomaly Detection. Journal of Computers (Taiwan), 29 (6). pp. 148-157. ISSN 1991-1599

Availability: https://vuir.vu.edu.au/41093/
https://doi.org/10.3966/199115992018122906014

Separability criteria for the evaluation of boundary detection benchmarks

Authors: Lopez-Molina, Carlos, Bustince, Humberto, De Baets, Bernard

Source: IEEE TRANSACTIONS ON IMAGE PROCESSING ; ISSN: 1057-7149

Subject Terms: Science General, Boundary comparison, boundary image evaluation, edge detection, segmentation, error measure, IMAGE SEGMENTATION ALGORITHMS, EDGE-DETECTION, MATHEMATICAL MORPHOLOGY, PERFORMANCE EVALUATION, HAUSDORFF DISTANCE, ASSIGNMENT PROBLEM, SIMILARITY, COLOR

File Description: application/pdf

Relation: https://biblio.ugent.be/publication/8069448; http://doi.org/10.1109/TIP.2015.2510284; https://biblio.ugent.be/publication/8069448/file/8069480

Availability: https://biblio.ugent.be/publication/8069448
http://hdl.handle.net/1854/LU-8069448
https://doi.org/10.1109/TIP.2015.2510284
https://biblio.ugent.be/publication/8069448/file/8069480

Unsupervised Image Segmentation Contest

Authors: Haindl, M. (Michal), Mikeš, S. (Stanislav)

Subject Terms: unsupervised image segmentation, color image segmentation algorithms, content-based image retrieval

Relation: http://hdl.handle.net/11104/0236081

Availability: https://doi.org/10.1109/ICPR.2014.264
http://hdl.handle.net/11104/0236081

Primerjava segmentacijskih algoritmov na posnetkih zdravih in obolelih očeh

Authors: Krivec, Sandi

Contributors: Potočnik, Božidar

Subject Terms: segmentacija očesa, napredna obdelava slik, segmentacijski postopki, image segmentation algorithms, detection of eye diseases, zaznava bolezni človeškega očesa, eye segmentation, 3. Good health, image processing

File Description: application/pdf

Access URL: https://hdl.handle.net/20.500.12556/DKUM-70287
https://dk.um.si/IzpisGradiva.php?id=70287

Kanchikacharla(post) Krishna(Dist) Andhra Pradesh

Authors: Using Drlse Levelset, Usha Rani. N, Engg Technology

Contributors: The Pennsylvania State University CiteSeerX Archives

Source: http://research.ijcaonline.org/volume29/number9/pxc3874987.pdf.

Subject Terms: General Terms Image processing, Image Segmentation Algorithms et. al. Keywords Segmentation, Medical image processing, Variational Levelset, Distance Regularized Level Set, Re-initialization, Convergence

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.3528; http://research.ijcaonline.org/volume29/number9/pxc3874987.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.259.3528
http://research.ijcaonline.org/volume29/number9/pxc3874987.pdf

Pareto Front

Authors: Mark Everingham, Henk Muller, Barry Thomas

Contributors: The Pennsylvania State University CiteSeerX Archives

Source: http://www.comp.leeds.ac.uk/me/Publications/eccv02.pdf.

Subject Terms: Pareto front. Evaluating Image Segmentation Algorithms using the

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.180.4110; http://www.comp.leeds.ac.uk/me/Publications/eccv02.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.180.4110
http://www.comp.leeds.ac.uk/me/Publications/eccv02.pdf

Evaluation of image segmentation approaches for non-destructive detection and quantification of corrosion damage on stonework

Authors: Μαραβελακη Παγωνα(http://users.isc.tuc.gr/~pmaravelaki), Maravelaki Pagona-Noni(http://users.isc.tuc.gr/~pmaravelaki), Ζερβακης Μιχαηλ(http://users.isc.tuc.gr/~mzervakis), Zervakis Michail(http://users.isc.tuc.gr/~mzervakis), Kapsalas P.()

Subject Terms: Statistical tests, Black crust, Performance evaluation, Stone decay, Image segmentation algorithms

Access URL: http://purl.tuc.gr/dl/dias/55C4C19B-AC59-42B2-A791-6173B02DB1C2