Results 61 to 70 of about 77,868 (177)
The lumbar spine and pelvis are critical stress-bearing structures of the human body, and their rapid and accurate segmentation plays a vital role in clinical diagnosis and intervention.
Chaofan Li +3 more
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SAGNet: Small-Target Attention Guided Network for Urban Remote Sensing Image Real-Time Segmentation
High-precision real-time segmentation of urban remote sensing (URS) images is crucial for emergency response such as urban flood warning and fire spread monitoring.
Shasha Ren, Xiaodong Zhang
doaj +1 more source
A cognitive deep learning approach for medical image processing
In ophthalmic diagnostics, achieving precise segmentation of retinal blood vessels is a critical yet challenging task, primarily due to the complex nature of retinal images.
Hussam N. Fakhouri +4 more
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Few-shot segmentation based on multi-level and cross-scale clustering
The problem of image segmentation with few-shot learning is addressed in this paper, which is a challenging task due to the lack of sufficient high-precision annotated data.
Shuai Yuan +4 more
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Segmentation Of Natural Images Using Scale-Space Representations: A Linear And A Non-Linear Approach
Publication in the conference proceedings of EUSIPCO, Toulouse, France ...
Pierre Vandergheynst +2 more
openaire +2 more sources
Plant Height Estimation in Corn Fields Based on Column Space Segmentation Algorithm
Plant genomics have progressed significantly due to advances in information technology, but phenotypic measurement technology has not kept pace, hindering plant breeding.
Huazhe Zhang +4 more
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Retinal Blood Vessel Segmentation by Means of Scale-Space Analysis and Region Growing [PDF]
M. Elena Martínez-Pérez +5 more
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Paint loss is one of the major forms of deterioration in ancient murals and color paintings, and its detection and segmentation are critical for subsequent restoration efforts.
Yunsheng Chen +5 more
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SA-UMamba: Spatial attention convolutional neural networks for medical image segmentation.
Medical image segmentation plays an important role in medical diagnosis and treatment. Most recent medical image segmentation methods are based on a convolutional neural network (CNN) or Transformer model.
Lei Liu +4 more
doaj +1 more source
Nonlinear Diffusion Scale-Space and Fast Marching Level Sets for Segmentation of MR Imagery and Volume Estimation of Stroke Lesions [PDF]
Jerod Weinman +4 more
openalex +1 more source

