Search Results - Fully-automated segmentation algorithms

Information fusion for fully automated segmentation of head and neck tumors from PET and CT images

Authors: Shiri Lord, Isaac Amini, Mehdi Yousefirizi, Fereshteh et al.

Source: Medical Physics. 51:319-333

Subject Terms: fusion, 616.8, 616.0757, PET/CT, Image Processing, segmentation, deep learning, Deep learning, 3. Good health, Segmentation, Head and Neck Neoplasms, Head and Neck Neoplasms/diagnostic imaging, Positron Emission Tomography Computed Tomography, Computer-Assisted/methods, Image Processing, Computer-Assisted, Humans, head and neck cancer, Fusion, Head and neck cancer, Positron Emission Tomography Computed Tomography/methods, Algorithms

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/37475591
https://hdl.handle.net/11370/37a28dd8-d703-48fe-a01d-faf9383815cf
https://research.rug.nl/en/publications/37a28dd8-d703-48fe-a01d-faf9383815cf
https://doi.org/10.1002/mp.16615
https://archive-ouverte.unige.ch/unige:170500
https://doi.org/10.1002/mp.16615
https://portal.findresearcher.sdu.dk/da/publications/50c0ebc9-132e-43e9-aaa7-0bb23f3f160b
https://doi.org/10.1002/mp.16615

Fully Automated Tooth Segmentation and Labeling for Both Full- and Partial-Arch Intraoral Scans Using Deep Learning

Authors: Lingyun Cao Niels van Nistelrooij Jiaqi Liu et al.

Source: International Dental Journal, Vol 75, Iss 5, Pp 100950- (2025)

Subject Terms: Artificial intelligence, Full-arch intraoral scan, Partial-arch intraoral scan, Tooth segmentation, FDI labeling, Correlation analysis, Dentistry, RK1-715

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0020653925002370; https://doaj.org/toc/0020-6539

Access URL: https://doaj.org/article/c00fbcd0b7c547d68d5a69995a6e290b

Automated abdominal organ segmentation algorithms for non-enhanced CT for volumetry and 3D radiomics analysis

Authors: Park, Junghoan Joo, Ijin Jeon, Sun Kyung et al.

Source: Abdom Radiol (NY)

Subject Terms: Radiography, Abdominal, Male, Adult, Radiomics, Research, Middle Aged, Kidney, Imaging, Three-Dimensional, Liver, Humans, Radiographic Image Interpretation, Computer-Assisted, Feasibility Studies, Female, Radiography, Thoracic, Tomography, X-Ray Computed, Algorithms, Spleen, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/39299987

Autonomous Rail Rapid Transit Pavement Damage Segmentation Algorithm Based on YOLOv8s-D.

Authors: Wu, Qingdong Tian, Libin Miao, Jijun et al.

Source: Journal of Computing in Civil Engineering; Nov2025, Vol. 39 Issue 6, p1-18, 18p

Subject Terms: IMAGE segmentation, DEEP learning, ALGORITHMS, RAILROADS, OBJECT recognition (Computer vision), COMPUTER vision, IMAGE processing

Information fusion for fully automated segmentation of head and neck tumors from PET and CT images

Authors: Shiri, Isaac Amini, Mehdi Yousefirizi, Fereshteh et al.

Source: Shiri, I, Amini, M, Yousefirizi, F, Vafaei Sadr, A, Hajianfar, G, Salimi, Y, Mansouri, Z, Jenabi, E, Maghsudi, M, Mainta, I, Becker, M, Rahmim, A & Zaidi, H 2024, 'Information fusion for fully automated segmentation of head and neck tumors from PET and CT images', Medical Physics, vol. 51, no. 1, pp. 319-333.

Index Terms: deep learning, fusion, head and neck cancer, PET/CT, segmentation, article

URL: https://research.rug.nl/en/publications/37a28dd8-d703-48fe-a01d-faf9383815cf
https://doi.org/10.1002/mp.16615
https://hdl.handle.net/11370/37a28dd8-d703-48fe-a01d-faf9383815cf
https://pure.rug.nl/ws/files/1058470796/Medical_Physics_-_2023_-_Shiri_-_Information_fusion_for_fully_automated_segmentation_of_head_and_neck_tumors_from_PET_and.pdf
https://www.scopus.com/pages/publications/85165458053
info:eu-repo/semantics/altIdentifier/doi/10.1002/mp.16615
info:eu-repo/semantics/altIdentifier/hdl/https://hdl.handle.net/11370/37a28dd8-d703-48fe-a01d-faf9383815cf
info:eu-repo/semantics/altIdentifier/pissn/0094-2405

Towards the automation of colon segmentation in magnetic resonance images

Authors: Orellana Bech, Bernat

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació

Thesis Advisors: Monclús Lahoya, Eva, Navazo Álvaro, Isabel, Vázquez Alcocer, Pere Pau

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Àrees temàtiques de la UPC::Informàtica, Àrees temàtiques de la UPC::Enginyeria biomèdica

Time: 616.3

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/690676
https://dx.doi.org/10.5821/dissertation-2117-407235

End-to-end learning for wind turbine blades: from imagery data to defect repair recommendations

Authors: Pérez i Gonzalo, Raül

Contributors: University/Department: Universitat Politècnica de Catalunya. Institut d'Organització i Control de Sistemes Industrials

Thesis Advisors: Agudo Martínez, Antonio

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Wind Turbine Maintenance, Image Segmentation, Deep Discriminant Analysis, Colorspace Optimization, Probability Loss, Region-Growing, Generative Models, Latent-space Augmentation, Dual Image Compression, ROI Coding, Àrees temàtiques de la UPC::Energies, Àrees temàtiques de la UPC::Enginyeria mecànica, Àrees temàtiques de la UPC::Informàtica, 621 - Enginyeria mecànica en general. Tecnologia nuclear. Electrotècnia. Maquinària, 620 - Assaig de materials. Material comercials. Economia de l'energia, 004 - Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/694227
https://dx.doi.org/10.5821/dissertation-2117-427818

Automated abdominal organ segmentation algorithms for non-enhanced CT for volumetry and 3D radiomics analysis.

Authors: Park, Junghoan Joo, Ijin Jeon, Sun Kyung et al.

Source: Abdominal Radiology; Mar2025, Vol. 50 Issue 3, p1448-1456, 9p

Subject Terms: LIVER, VOLUME (Cubic content), IMAGE segmentation, ORGANS (Anatomy), SPLEEN, COMPUTED tomography, RADIOMICS

Evaluation of a deep image-to-image network (DI2IN) auto-segmentation algorithm across a network of cancer centers

Authors: Kareem, Rayn Vibhor, Gupta Suneetha, Mulinti et al.

Source: Journal of Cancer Research and Therapeutics. 20:1020-1025

Subject Terms: Organs at Risk, Deep Learning, Radiotherapy Planning, Computer-Assisted, Neoplasms, Image Processing, Computer-Assisted, Humans, Prospective Studies, Cancer Care Facilities, Tomography, X-Ray Computed, Algorithms, 3. Good health

Access URL: https://pubmed.ncbi.nlm.nih.gov/39023610

Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms

Authors: Shiri Lord, Isaac Arabi, Hossein Sanaat, Amirhossein et al.

Source: Clinical Nuclear Medicine, Vol. 46, No 11 (2021) pp. 872-883
Shiri, I, Arabi, H, Sanaat, A, Jenabi, E, Becker, M & Zaidi, H 2021, ' Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms ', Clinical Nuclear Medicine, vol. 46, no. 11, pp. 872-883 . https://doi.org/10.1097/RLU.0000000000003789

Subject Terms: 616.8, 616.0757, Image Processing, ddc:616.0757, ddc:616.8, Tumor Burden, 3. Good health, 03 medical and health sciences, Computer-Assisted, Deep Learning, 0302 clinical medicine, Head and Neck Neoplasms, Head and Neck Neoplasms/diagnostic imaging, Positron Emission Tomography Computed Tomography, Image Processing, Computer-Assisted, Humans, Algorithms

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/34238799
https://pubmed.ncbi.nlm.nih.gov/34238799/
https://archive-ouverte.unige.ch/unige:155222
https://www.ncbi.nlm.nih.gov/pubmed/34238799
https://europepmc.org/article/MED/34238799
https://archive-ouverte.unige.ch/unige:155222
https://doi.org/10.1097/rlu.0000000000003789
https://archive-ouverte.unige.ch/unige:155222
https://portal.findresearcher.sdu.dk/da/publications/e16a6c7e-e7f4-4216-a0d9-ebe5735102da

Comparison of Manual, Semi- and Fully Automated Heart Segmentation for Assessing Global Left Ventricular Function in Multidetector Computed Tomography

Authors: Cedric Plumhans Sebastian Keil Andreas H. Mahnken et al.

Source: Investigative Radiology. 44:476-482

Subject Terms: Adult, Aged, 80 and over, Male, Reproducibility of Results, Coronary Artery Disease, Middle Aged, Coronary Angiography, Sensitivity and Specificity, Pattern Recognition, Automated, 3. Good health, Radiographic Image Enhancement, Ventricular Dysfunction, Left, 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence, Humans, Radiographic Image Interpretation, Computer-Assisted, Female, Tomography, X-Ray Computed, Algorithms, Aged

Access URL: https://pubmed.ncbi.nlm.nih.gov/19561515
http://journals.lww.com/00004424-200908000-00007
http://europepmc.org/abstract/MED/19561515
https://www.ncbi.nlm.nih.gov/pubmed/19561515

Enhanced Retinal Vessel Segmentation Using Dynamic Contrast Stretching and Mathematical Morphology on Fundus Images.

Authors: Chakour, El-Mehdi Mrad, Yasmine Mansouri, Anass et al.

Source: Applied Computational Intelligence & Soft Computing; 5/8/2025, Vol. 2025, p1-21, 21p

Subject Terms: MEDICAL screening, MATHEMATICAL morphology, RETINAL blood vessels, IMAGE segmentation, RETINAL imaging

Automated brain structure segmentation in magnetic resonance images of multiple sclerosis patients

Authors: González-Villà, Sandra

Contributors: University/Department: Universitat de Girona. Departament d'Arquitectura i Tecnologia de Computadors

Thesis Advisors: Lladó Bardera, Xavier, Oliver i Malagelada, Arnau

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Brain structures, Estructures cerebrals, Estructuras cerebrales, Segmentation, Segmentació, Segmentación, Magnetic resonance images, Imatges de ressonància magnètica, Imágenes de resonancia magnética, Multiple sclerosis, Esclerosi múltiple, Esclerosis múltiple, Multi-atlas, Multi-atles, Label fusion, Fusió d'etiquetes, Fusión de etiquetas

Time: 616.8

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/667616

Fully Automated Hippocampus Segmentation using T2-informed Deep Convolutional Neural Networks

Authors: Maximilian Sackl Christian Tinauer Martin Urschler et al.

Source: NeuroImage, Vol 298, Iss , Pp 120767- (2024)

Subject Terms: High-resolution, T2-weighted, CNN, Segmentation, Hippocampus atrophy, FreeSurfer, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1053811924002647; https://doaj.org/toc/1095-9572

Access URL: https://doaj.org/article/3654eb6d02e74ed1ba2e20c48de0ad21

A Systematic Survey on Segmentation Algorithms for Musculoskeletal Tissues in Ultrasound Imaging: A Systematic Survey on Segmentation Algorithms...: A. H. Ramakrishnan et al.

Authors: Ramakrishnan, Ananth Hari Rajappa, Muthaiah Kirthivasan, Kannan et al.

Source: Archives of Computational Methods in Engineering; Apr2025, Vol. 32 Issue 3, p1335-1368, 34p

Automated AI-based segmentation of canine hepatic focal lesions from CT studies.

Authors: Burti, Silvia Jurgas, Artur Puccinelli, Caterina et al.

Source: Frontiers in Veterinary Science. 2025, p1-9. 9p.

Development of fully automated deep-learning-based approach for prediction of sentinel lymph node metastasis in breast cancer patients using ultrasound imaging

Authors: Taixia Liu Guojia Zhao Wei Wei et al.

Source: Frontiers in Oncology, Vol 15 (2025)

Subject Terms: automatic segmentation, deep learning, prediction model, sentinel lymph node metastasis, breast cancer, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fonc.2025.1592521/full; https://doaj.org/toc/2234-943X

Access URL: https://doaj.org/article/61db85e4d7fe4ab3a6407f52bd04d3e7

Information fusion for fully automated segmentation of head and neck tumors from PET and CT images

Authors: Shiri Lord, Isaac Amini, Mehdi Yousefirizi, Fereshteh et al.

Source: ISSN: 0094-2405 ; Medical physics, vol. 51, no. 1 (2024) p. 319-333.

Subject Terms: info:eu-repo/classification/ddc/616.8, info:eu-repo/classification/ddc/616.0757, PET/CT, Deep learning, Fusion, Head and neck cancer, Segmentation

Relation: info:eu-repo/semantics/altIdentifier/pmid/37475591; unige:170500

Availability: https://archive-ouverte.unige.ch/unige:170500

Evaluation of a deep image-to-image network (DI2IN) auto-segmentation algorithm across a network of cancer centers.

Authors: Rayn, Kareem Gupta, Vibhor Mulinti, Suneetha et al.

Source: Journal of Cancer Research & Therapeutics; Apr-Jun2024, Vol. 20 Issue 3, p1020-1025, 6p

Subject Terms: DEEP reinforcement learning, REINFORCEMENT learning, SUBMANDIBULAR gland, OPTIC nerve, SEMINAL vesicles

Unsupervised clustering based coronary artery segmentation.

Authors: Serrano-Antón, Belén Insúa Villa, Manuel Pendón-Minguillón, Santiago et al.

Source: BioData Mining; 3/7/2025, Vol. 18 Issue 1, p1-23, 23p

Subject Terms: CLUSTERING algorithms, CORONARY angiography, ARTIFICIAL intelligence, COMPUTED tomography, IMAGE processing