Results 41 to 50 of about 77,868 (177)

A Morphological Classification Method of ECG ST-Segment Based on Curvature Scale Space [PDF]

Journal of Biosciences and Medicines, 2015
Aomalous changes in the ST segment, including ST level deviation and ST shape change, are the major parameters in clinical electrocardiogram (ECG) diagnosis of myocardial ischemia. Automatic detection of ST segment morphology can provide a more accurate evidence for clinical diagnosis of myocardial ischemia.
Sun Yining, Hu Fusong, Jingzhi Wang, Zuchang Ma, Li Chengtao, Jin Dan, Yongliang Zhang   +6 more
openaire   +2 more sources

RSAP-Net: joint optic disc and cup segmentation with a residual spatial attention path module and MSRCR-PT pre-processing algorithm

BMC Bioinformatics, 2022
Background Glaucoma can cause irreversible blindness to people’s eyesight. Since there are no symptoms in its early stage, it is particularly important to accurately segment the optic disc (OD) and optic cup (OC) from fundus medical images for the ...
Yun Jiang, Zeqi Ma, Chao Wu, Zequn Zhang, Wei Yan   +4 more
doaj   +1 more source

SLIC segmentation method for full-polarised remote-sensing image

The Journal of Engineering, 2019
The rapid development of remote-sensing data acquisition technology means that the resolution of remote-sensing image has been continuously improved, resulting in the large scale of remote-sensing image data and the increase of redundant information ...
Zhanyang Zhang, Jiaqi Chen, Zhiwei Liu
doaj   +1 more source

RSM-YOLOv11: Lightweight Steel Surface Defect Segmentation Algorithm Research Based on YOLOv11 Improvement

IEEE Access
Traditional segmentation algorithms fail to effectively handle complex texture backgrounds and diverse defect shapes in steel surface defect segmentation, resulting in insufficient segmentation accuracy (SA), slow speed, and false negatives.
Zenghai Shan, Hu Haoyan, Changjian Zhu, Shaowen Du, Hongtao Jing, Wang Haibin   +5 more
doaj   +1 more source

A scale space approach for automatically segmenting words from historical handwritten documents

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005
Many libraries, museums, and other organizations contain large collections of handwritten historical documents, for example, the papers of early presidents like George Washington at the Library of Congress. The first step in providing recognition/ retrieval tools is to automatically segment handwritten pages into words.
Manmatha, R., Rothfeder, Jamie L.
openaire   +4 more sources

MSGM-Net: multi-scale general-modal network for disease and organ segmentation

Complex & Intelligent Systems
General and effective medical image segmentation methods achieve pixel-level accurate segmentation of lesions or organs. Existing 2-D networks have demonstrated their effectiveness on single-modal segmentation tasks, but difficult to exploit ...
Dayu Tan, Xiaoping Zhou, Chao Jiang, Xin Peng, Yansen Su, Weimin Zhong   +5 more
doaj   +1 more source

A novel super-resolution urban green space segmentation network generating 0.2m resolution urban green space results using low-resolution imagery

Geocarto International
Accurate mapping of urban green space (UGS) is crucial for urban planning and ecology. High-resolution drone images are often used for UGS identification, but their high cost limits large-scale mapping.
Chunyang Chen, Guangbin Yang, Panfang Chen, Lei Zhan, Man Li, Juan Li   +5 more
doaj   +1 more source

State-Space Model Meets Linear Attention: A Hybrid Architecture for Internal Wave Segmentation

Remote Sensing
Internal waves (IWs) play a crucial role in the transport of energy and matter within the ocean while also posing significant risks to marine engineering, navigation, and underwater communication systems.
Zhijie An, Zhao Li, Saheya Barintag, Hongyu Zhao, Yanqing Yao, Licheng Jiao, Maoguo Gong   +6 more
doaj   +1 more source

A Spark-Based Parallel Fuzzy $c$ -Means Segmentation Algorithm for Agricultural Image Big Data

IEEE Access, 2019
With the explosive growth of image big data in the agriculture field, image segmentation algorithms are confronted with unprecedented challenges. As one of the most important images segmentation technologies, the fuzzy c-means (FCMs) algorithm has been ...
Bin Liu, Songrui He, Dongjian He, Yin Zhang, Mohsen Guizani   +4 more
doaj   +1 more source

Edge-preserving smoothing and segmentation of 4D images via transversely isotropic scale-space processing and fingerprint analysis [PDF]

, 2004
Bryan W. Reutter, V. Ralph Algazi, G.T. Gullberg, R.H. Huesman   +3 more
openalex   +3 more sources