Search Results - Semi-automation segmentation algorithms*

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

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

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

Subject Terms: 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

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

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

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

Subject Terms: TEACHERS, LEARNING

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

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

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

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

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

Authors: Zhang, Lin Zhang, Wenqing Xu, Zhenghao

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

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

Authors: Qiu, Xiaorong Shi, Yingzhong

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

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

Automating Science Journalism Tasks: Emerging Opportunities.

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

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

Subject Terms: 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.

Authors: Giannakopoulos, Vasileios Feldens, Peter Fakiris, Elias

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

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

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

Authors: Zhu, Yi Yu, Qingcang Xu, Zihao

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

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

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.

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

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

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

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

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

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

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

Reviews & Products: MATLAB (Computer software)

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

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

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

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

A general supply-inspect cost framework to regulate the reliability-usability trade-offs for few-shot inference.

Authors: Martínez-Plumed, Fernando Jaimovitch-López, Gonzalo Ferri, Cèsar et al.

Source: Complex & Intelligent Systems; Dec2024, Vol. 10 Issue 6, p8287-8317, 31p

Subject Terms: LANGUAGE models, MACHINE learning, ALGORITHMS, COST

Analytics for Marketers.

Authors: Fantini, Fabrizio Narayandas, Das

Source: Harvard Business Review; May/Jun2023, Vol. 101 Issue 3, p82-91, 10p, 5 Color Photographs, 1 Chart

Subject Terms: DATA analysis, MARKETING personnel, ALGORITHMS, ARTIFICIAL intelligence in business, BUSINESS intelligence, INDUSTRIAL efficiency, AUTOMATION, MANAGEMENT

Artificial intelligence measured 3D lumbosacral body composition and clinical outcomes in rectal cancer patients.

Authors: Wei, Matthew Hong, Wei Cao, Ke et al.

Source: ANZ Journal of Surgery; Jan/Feb2025, Vol. 95 Issue 1/2, p163-168, 6p

Subject Terms: CANCER prognosis, BODY composition, LUMBOSACRAL region, ADIPOSE tissues, RECTAL cancer, RECTAL surgery

Brain tumor segmentation using UNet-few shot schematic segmentation.

Authors: L K, Pavithra Paramanandham, Nirmala Sharan, Tanya et al.

Source: ITM Web of Conferences; 8/9/2023, Vol. 56, p1-8, 8p

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

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

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

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

Automated measurement method for cable shapes based on laser scanners and cameras.

Authors: Wang, Feiyu Li, Bo Xu, Yichao et al.

Source: Journal of Civil Structural Health Monitoring; Feb2025, Vol. 15 Issue 2, p717-729, 13p

Validation of Image-Based Method for Extraction of Coronary Morphometry

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

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

Subject Terms: 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

Access 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

Advanced Image Analysis Methods for Automated Segmentation of Subnuclear Chromatin Domains.

Authors: Johann to Berens, Philippe Schivre, Geoffrey Theune, Marius et al.

Source: Epigenomes; Dec2022, Vol. 6 Issue 4, p34, 17p

Subject Terms: IMAGE analysis, PLANT cytogenetics, COGNITIVE bias, NUCLEAR structure, DEEP learning, MICROSCOPY

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

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

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

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