Suchergebnisse - Semi-automation segmentation algorithms

Experimental Examination of Conventional, Semi-Automatic, and Automatic Volumetry Tools for Segmentation of Pulmonary Nodules in a Phantom Study

Autoren: Julian Hlouschek Britta König Denise Bos et al.

Quelle: Diagnostics, Vol 14, Iss 1, p 28 (2023)

Schlagwörter: radiation oncology, radiotherapy, target volume, contouring, semi-automation, N1 LUNGMAN phantom, Medicine (General), R5-920

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2075-4418/14/1/28; https://doaj.org/toc/2075-4418

Zugangs-URL: https://doaj.org/article/3a11956854b3414d90970bea22ac21b5

Multimodal fusion image enhancement technique and CFEC-YOLOv7 for underwater target detection algorithm research.

Autoren: Qiu, Xiaorong Shi, Yingzhong

Quelle: Frontiers in Neurorobotics; 2025, p1-17, 17p

Schlagwörter: DETECTION algorithms, RECOGNITION (Psychology), IMAGE fusion, IMAGE intensifiers, RELATIVE motion

Experimental Examination of Conventional, Semi-Automatic, and Automatic Volumetry Tools for Segmentation of Pulmonary Nodules in a Phantom Study.

Autoren: Hlouschek, Julian König, Britta Bos, Denise et al.

Quelle: Diagnostics (2075-4418); Jan2024, Vol. 14 Issue 1, p28, 10p

Schlagwörter: PULMONARY nodules, VOLUME (Cubic content), DEEP learning, COMPUTED tomography, MACHINE learning

A software system for efficient DEM segmentation and DTM estimation in complex urban areas

Autoren: Van de Woestyne, Ignace Jordan, Michel Moons, Theo et al.

Quelle: ISSN:1682-1750 ; Proceedings of the ISPRS Congress 2004, (134-139) ; ISPRS Congress 2004, Istanbul, Turkey, 12-17 July 2004.

Schlagwörter: DEM / DTM, segmentation, urban, semi-automation, three-dimensional, aerial, imagery, laser scanning, 0909 Geomatic Engineering, 3709 Physical geography and environmental geoscience, 4013 Geomatic engineering

Dateibeschreibung: application/pdf

Relation: https://lirias.kuleuven.be/handle/123456789/418581

Verfügbarkeit: https://lirias.kuleuven.be/handle/123456789/418581
https://lirias.kuleuven.be/retrieve/159459a2-2899-4b11-9347-2f92eaafbac7

Software BreastAnalyser for the semi-automatic analysis of breast cancer immunohistochemical images.

Autoren: Rodríguez-Candela Mateos, Marina Azmat, Maria Santiago-Freijanes, Paz et al.

Quelle: Scientific Reports; 2/27/2024, Vol. 14 Issue 1, p1-19, 19p

Schlagwörter: BREAST cancer, BREAST, CANCER relapse, PATHOLOGICAL anatomy, CELL nuclei, DISEASE risk factors

Software BreastAnalyser for the semi-automatic analysis of breast cancer immunohistochemical images.

Autoren: Mateos, Marina Rodríguez-Candela Azmat, Maria Santiago-Freijanes, Paz et al.

Quelle: Scientific Reports; 2/9/2024, Vol. 14 Issue 1, p1-19, 19p

Schlagwörter: BREAST cancer, BREAST, CANCER relapse, PATHOLOGICAL anatomy, CELL nuclei, DISEASE risk factors

Optimized Watermelon Scion Leaf Segmentation Model Based on Hungarian Algorithm and Information Theory.

Autoren: Zhu, Yi Yu, Qingcang Xu, Zihao

Quelle: Electronics (2079-9292); Feb2025, Vol. 14 Issue 3, p620, 15p

Schlagwörter: UNCERTAINTY (Information theory), AGRICULTURE, INFORMATION theory, DEEP learning, FEATURE extraction, WATERMELONS

Validation of Image-Based Method for Extraction of Coronary Morphometry

Autoren: Wischgoll, Thomas Choy, Jenny Susana Ritman, Erik L. et al.

Quelle: Annals of Biomedical Engineering. 36:356-368

Schlagwörter: Computer Science and Engineering, Male, Swine, 0206 medical engineering, Image Analysis, 02 engineering and technology, In Vitro Techniques, Coronary Angiography, Sensitivity and Specificity, Pattern Recognition, Automated, 03 medical and health sciences, Segmentation, Engineering, Imaging, Three-Dimensional, 0302 clinical medicine, Artificial Intelligence, Animals, Coronary Arteries, Computer Sciences, Reproducibility of Results, Radiographic Image Enhancement, Radiographic Image Interpretation, Computer-Assisted, Female, Tomography, X-Ray Computed, Algorithms, Software, CT

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/18228141
https://mayoclinic.pure.elsevier.com/en/publications/validation-of-image-based-method-for-extraction-of-coronary-morph
https://core.ac.uk/display/36756678
https://link.springer.com/article/10.1007%2Fs10439-008-9443-x/fulltext.html
https://corescholar.libraries.wright.edu/cse/300/
https://works.bepress.com/thomas_wischgoll/13/
https://link.springer.com/10.1007/s10439-008-9443-x

Automated Segmentation of Lymph Nodes on Neck CT Scans Using Deep Learning.

Autoren: Al Hasan, Md Mahfuz Ghazimoghadam, Saba Tunlayadechanont, Padcha et al.

Quelle: Journal of Digital Imaging; Dec2024, Vol. 37 Issue 6, p2955-2966, 12p

Schlagwörter: NECK radiography, LYMPH nodes, SQUAMOUS cell carcinoma, RESEARCH funding, COMPUTED tomography, HEAD & neck cancer, DESCRIPTIVE statistics, CONVOLUTIONAL neural networks, DETECTION algorithms, COMPUTER-aided diagnosis, AUTOMATION, DIGITAL image processing, TUMOR classification

Automatic liver tumor segmentation based on improved Yolo-v5 and B-spline level set.

Autoren: Zhang, Lin Zhang, Wenqing Xu, Zhenghao

Quelle: Cluster Computing; Jun2025, Vol. 28 Issue 3, p1-21, 21p

Automated detection of migrating Gray whales and measurement of their bearing in satellite imagery.

Autoren: Rodofili, Esteban Nicolas Houegnigan, Ludwig Lecours, Vincent et al.

Quelle: Marine Mammal Science; Jul2025, Vol. 41 Issue 3, p1-27, 27p

Schlagwörter: WHALES, ANIMAL migration, BALEEN whales, IMAGE segmentation, AUTOMATIC tracking, REMOTE-sensing images, SPATIAL orientation, FEATURE selection

Geografische Kategorien: SOUTHERN California

A semi-supervised crack segmentation framework based on uncertainty perception and dual-student mean teacher.

Autoren: Liu, Hengyang Zhou, Cong Li, Yonglong et al.

Quelle: Measurement Science & Technology; Jul2025, Vol. 36 Issue 7, p1-18, 18p

Schlagwörter: TEACHERS, LEARNING

Semi-Automated Segmentation of Geometric Shapes from Point Clouds.

Autoren: Honti, Richard Erdélyi, Ján Kopáčik, Alojz

Quelle: Remote Sensing; Sep2022, Vol. 14 Issue 18, pN.PAG-N.PAG, 21p

Schlagwörter: OPTICAL scanners, GEOMETRIC shapes, POINT cloud, BUILDING information modeling, COLUMNS, GEOMETRIC modeling

Artificial intelligence–based technology for semi-automated segmentation of rectal cancer using high-resolution MRI.

Autoren: Hamabe, Atsushi Ishii, Masayuki Kamoda, Rena et al.

Quelle: PLoS ONE; 6/17/2022, Vol. 17 Issue 6, p1-13, 13p

Schlagwörter: RECTAL cancer, IMAGE analysis, MAGNETIC resonance imaging, IMAGE segmentation, RECTUM, HIGH dose rate brachytherapy

A Large-Scale Image Repository for Automated Pavement Distress Analysis and Degradation Trend Prediction.

Autoren: Yang, Hanlin Cao, Jinpu Wan, Jun et al.

Quelle: Scientific Data; 8/14/2025, Vol. 12 Issue 1, p1-12, 12p

Schlagwörter: DEEP learning, DETECTION algorithms, CRACKING of pavements, OBJECT recognition (Computer vision), ROAD maintenance, PHOTOGRAPHY archives, PATTERN recognition systems

Automating Science Journalism Tasks: Emerging Opportunities.

Autoren: Maiden, Neil Zachos, Konstantinos Franks, Suzanne et al.

Quelle: Journalism Practice; May2025, Vol. 19 Issue 5, p957-977, 21p

Schlagwörter: SCIENCE journalism, AUTOMATION software, DESIGN science, STAKEHOLDER analysis, PERIODICAL articles, DIGITAL technology

Semi-Automated Mapping of Pockmarks from MBES Data Using Geomorphometry and Machine Learning-Driven Optimization.

Autoren: Giannakopoulos, Vasileios Feldens, Peter Fakiris, Elias

Quelle: Remote Sensing; Aug2025, Vol. 17 Issue 16, p2917, 18p

Schlagwörter: MACHINE learning, RANDOM forest algorithms, OCEANOGRAPHIC maps, CRATERING, SUBMARINE topography

Digital twin-based cyber-physical manufacturing systems, extended reality metaverse enterprise and production management algorithms, and Internet of Things financial and labor market technologies in generative artificial intelligence economics.

Autoren: Lăzăroiu, George Gedeon, Tom Rogalska, Elżbieta et al.

Quelle: Oeconomia Copernicana; Sep2024, Vol. 15 Issue 3, p837-870, 34p

Schlagwörter: GENERATIVE artificial intelligence, MACHINE learning, BUSINESS forecasting, ROBOTICS, LABOR economics, LABOR productivity

Machine Learning Techniques for Requirements Engineering: A Comprehensive Literature Review.

Autoren: Rosado da Cruz, António Miguel Cruz, Estrela Ferreira

Quelle: Software (2674-113X); Sep2025, Vol. 4 Issue 3, p14, 56p

Schlagwörter: MACHINE learning, REQUIREMENTS engineering, ARTIFICIAL intelligence, NATURAL language processing, TRANSFORMER models, GENERATIVE pre-trained transformers, DEEP learning

Autostent: a semi-automated approach to designing customized 3D-printed oral radiation stents for patients with head and neck cancer.

Autoren: Agrawal, Anshuman Tino, Rance B. Zaid, Mohamed et al.

Quelle: Radiation Oncology; 11/17/2025, Vol. 20 Issue 1, p1-10, 10p

Schlagwörter: HEAD & neck cancer, AUTOMATION, SURGICAL stents, SYSTEMS design, THREE-dimensional printing, CUSTOMIZATION, RADIOTHERAPY

Reviews & Products: MATLAB (Computer software)