Search Results - "Medical image segmentation"

UCM-NetV2: An efficient and accurate deep learning model for skin lesion segmentation

Authors: Chunyu Yuan Dongfang Zhao Sos S. Agaian

Source: Journal of Economy and Technology, Vol 3, Iss, Pp 251-263 (2025)

Subject Terms: Light-weight model, Economics as a science, Electronic computers. Computer science, Social Sciences, Mobile health, QA75.5-76.95, Medical image segmentation, HB71-74

Access URL: https://doaj.org/article/dbd39b5a0a6146008939087e896400f4

UNETR plus plus : Delving Into Efficient and Accurate 3D Medical Image Segmentation

Authors: Shaker, Abdelrahman Maaz, Muhammad Rasheed, Hanoona et al.

Source: IEEE Transactions on Medical Imaging. 43(9):3377-3390

Subject Terms: Image segmentation, Three-dimensional displays, Transformers, Biomedical imaging, Complexity theory, Graphics processing units, Task analysis, Deep learning, efficient attention, hybrid architecture, medical image segmentation

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-207990
https://liu.diva-portal.org/smash/get/diva2:1903256/FULLTEXT01.pdf

Mesh-based segmentation for automated margin line generation on incisors receiving crown treatment

Authors: Ammar Alsheghri Ying Zhang Farnoosh Ghadiri et al.

Source: Mathematics and Computers in Simulation. 239:716-728

Subject Terms: Machine Learning, Computational Engineering, Finance, and Science (cs.CE), FOS: Computer and information sciences, Computational Engineering, Finance, and Science, 3D Shape Modeling and Analysis, Computer Vision and Pattern Recognition (cs.CV), Computational Mechanics, Medical Image Segmentation Techniques, Dental Radiography and Imaging, Computer Vision and Pattern Recognition, Oral Surgery, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2507.22859
https://publications.polymtl.ca/66983/
https://doi.org/10.1016/j.matcom.2025.07.054

O-DAT: A novel framework integrating optimized dual attention for medical image segmentation

Authors: Chen Guo Hongyuan Ren Haiying Qi et al.

Source: Alexandria Engineering Journal, Vol 128, Iss, Pp 878-890 (2025)

Subject Terms: Medical image segmentation, TA1-2040, O-DAT, Engineering (General). Civil engineering (General), U-Net

Access URL: https://doaj.org/article/2363ff64908e4cd6a701a407cf5983c3

Supervision by Denoising

Authors: Sean I. Young Adrian V. Dalca Enzo Ferrante et al.

Source: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:7279-7291

Subject Terms: regularization, medical image segmentation, deep learning

File Description: application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/37505997
http://hdl.handle.net/11336/250979

3D UNet-based abdominal organ automatic segmentation model using image denoising and point cloud fusion

Authors: Jiancheng Xue Qingchao Meng Bing Hu et al.

Source: Alexandria Engineering Journal, Vol 128, Iss, Pp 117-126 (2025)

Subject Terms: LKSVD denoising, Sparse coding, Dual attention mechanism, RGB-D, Medical image segmentation, TA1-2040, Engineering (General). Civil engineering (General), 3D point cloud

Access URL: https://doaj.org/article/7b822fe7ef8a49078274e3b186c3f4b1

Detection and Identification of Dental Caries Using Segmentation Techniques

Authors: Noor A. Ibraheem

Source: Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 38, Iss 3 (2025)

Subject Terms: Segmentation, Image Processing, Science, Machine learning, Dental caries, Teeth detection, Medical Image Segmentation

Access URL: https://doaj.org/article/68cf13524dc742d7b33936caffd05fdd

Necessity and impact of specialization of large foundation model for medical segmentation tasks

Authors: Nguyen, Eric Liu, Hengjie Ruan, Dan

Source: Medical Physics. 52(1)

Subject Terms: 5105 Medical and Biological Physics (for-2020), 51 Physical Sciences (for-2020), Image Processing, Computer-Assisted (mesh), Humans (mesh), Magnetic Resonance Imaging (mesh), foundation model, medical image segmentation, Humans (mesh), Magnetic Resonance Imaging (mesh), Image Processing, Computer-Assisted (mesh), foundation model, medical image segmentation, Image Processing, Computer-Assisted (mesh), Humans (mesh), Magnetic Resonance Imaging (mesh), 0299 Other Physical Sciences (for), 0903 Biomedical Engineering (for), 1112 Oncology and Carcinogenesis (for), Nuclear Medicine & Medical Imaging (science-metrix), 4003 Biomedical engineering (for-2020), 5105 Medical and biological physics (for-2020)

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/7tj289fp
https://escholarship.org/content/qt7tj289fp/qt7tj289fp.pdf

Self-supervised Pretraining and Multi-label Decoding for Intracranial Hemorrhage Segmentation

Subject Terms: Neurology, Medical Image Segmentation Techniques, Computer Vision and Pattern Recognition, Intracerebral and Subarachnoid Hemorrhage Research, Brain Tumor Detection and Classification

Access URL: https://publications.polymtl.ca/69063/

Segmentation of Histopathological Images with LinkNet Model Supported by Vgg16 Backbone

Authors: Furkan Atlan

Source: Volume: 8, Issue: 135-46
Scientific Journal of Mehmet Akif Ersoy University

Subject Terms: Artificial Intelligence (Other), Medical image segmentation, CryoNuSeg, backbone, Vgg16, LinkNet, Yapay Zeka (Diğer)

File Description: application/pdf

Access URL: https://dergipark.org.tr/tr/pub/sjmakeu/issue/90000/1658832

AOA-guided hyperparameter refinement for precise medical image segmentation

Authors: Hossam Magdy Balaha Waleed M. Bahgat Mansourah Aljohani et al.

Source: Alexandria Engineering Journal, Vol 120, Iss, Pp 547-560 (2025)

Subject Terms: Breast cancer, Archimedes optimization algorithm, Deep learning (DL), COVID-19, Medical image segmentation, TA1-2040, Engineering (General). Civil engineering (General), Hyperparameter optimization

Access URL: https://doaj.org/article/9d84a7627e414511a448fa96fd12214a

Semi-Supervised 3-D Medical Image Segmentation Using Multiconsistency Learning With Fuzzy Perception-Guided Target Selection

Authors: Tao Lei Wenbiao Song Weichuan Zhang et al.

Source: IEEE Transactions on Radiation and Plasma Medical Sciences. 9:421-432

Subject Terms: semi-supervised learning, medical image segmentation, fuzzy estimation, consistency learning

File Description: Print-Electronic

Access URL: https://bura.brunel.ac.uk/handle/2438/29969

Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation

Authors: Gu, Yuliang Liu, Yepeng Sun, Zhichao et al.

Contributors: Gu, Yuliang Liu, Yepeng Sun, Zhichao et al.

Source: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). :1966-1973

Subject Terms: FOS: Computer and information sciences, Class imbalance, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Semi-supervised learning 3D medical image segmentation Class imbalance Data augmentation, Data augmentation, Computer Vision and Pattern Recognition (cs.CV), Semi-supervised learning, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Computer Science - Computer Vision and Pattern Recognition, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), 3D medical image segmentation

File Description: application/pdf

Access URL: http://arxiv.org/abs/2410.14210
https://hal.science/hal-04739628v1

SeqSeg: Learning Local Segments for Automatic Vascular Model Construction.

Authors: Sveinsson Cepero, Numi Shadden, Shawn

Source: Annals of Biomedical Engineering. 53(1)

Subject Terms: Blood vessel tracking, Cardiovascular simulation, Convolutional neural network, Deep learning, Medical image segmentation, Vascular model construction, Humans, Models, Cardiovascular, Deep Learning, Aorta, Magnetic Resonance Imaging, Tomography, X-Ray Computed, Algorithms, Image Processing, Computer-Assisted

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/0397d1rt
https://escholarship.org/content/qt0397d1rt/qt0397d1rt.pdf

Incremental 2D self-labelling for effective 3D medical volume segmentation with minimal annotations

Authors: Matthew Anderson Maged Habib David H. Steel et al.

Source: BMC Medical Imaging, Vol 25, Iss 1, Pp 1-15 (2025)

Subject Terms: Deep learning, Minimal annotations, Medical image segmentation, Self-labelling, Medical technology, R855-855.5

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2342

Access URL: https://doaj.org/article/8776e387171141c3a46b3e44c0ea1ef8

A multi-scale attention-based Swin transformer model for medical images segmentation

Authors: Benyamin Mirab Golkhatmi Mahboobeh Houshmand Seyyed Abed Hosseini

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-22 (2025)

Subject Terms: Swin transformer, Convolutional block attention module, Receptive field block, Depthwise separable convolutions, Medical image segmentation, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/e9834766f02e4336b980cd479f86b414

MDFormer: a multi-scale dense dilated transformer model for 3D medical image segmentation

Authors: Qiuxia Li Haiyue Zhao Ying Zhai et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-14 (2025)

Subject Terms: Medical image segmentation, Deep learning, Multi-scale dense dilated transformer, MDFormer, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/c56626824ac04823820b9eae6eb09601

FFTMed: leveraging fast-fourier transform for a lightweight and adversarial-resilient medical image segmentation framework

Authors: Viet Tien Pham Minh Hieu Ha Bao V. Q. Bui et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-15 (2025)

Subject Terms: Medical image segmentation, Fast Fourier transform, Adversarial attack, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/bd9a2ec367f942ed9d37dec9577e8915

A dual attention and cross layer fusion network with a hybrid CNN and transformer architecture for medical image segmentation

Authors: Jiahong Chen Zhengyou Liang Xiangyan Lu

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Subject Terms: Medical image segmentation, Deep learning, Feature fusion, Attention mechanism, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/d2251e9915b54e159c3c0199ef69377b

Transformer-based weakly supervised intracerebral hemorrhage segmentation using image-level labels

Authors: Yuren Hu Zengqiang Yan Zhuo Kuang et al.

Source: Brain Hemorrhages, Vol 6, Iss 5, Pp 195-205 (2025)

Subject Terms: Intracerebral hemorrhage, Weakly supervised learning, Transformer, Medical image segmentation, Class activation map, Neurophysiology and neuropsychology, QP351-495

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2589238X25000361; https://doaj.org/toc/2589-238X

Access URL: https://doaj.org/article/1269d5d48fd247e999fdc53d8fbe0fe3