Results 221 to 230 of about 572,802 (294)
A frequency-spatial dual perception network for efficient and accurate medical image segmentation. [PDF]
Sci RepChen D, Wu J, Zhang XY, Wang DH.
europepmc +1 more source
Template-Based Label Propagation for Mouse Brain MRI Skull Stripping. [PDF]
NeuroinformaticsGong R +7 more
europepmc +1 more source
LBMNet: a hybrid multi-scale CNN-Mamba framework for enhanced 3D stroke lesion segmentation in MRI. [PDF]
Front Med (Lausanne)Kuang Z +5 more
europepmc +1 more source
TB-DLossNet: Fine-Grained Segmentation of Tea Leaf Diseases Based on Semantic-Visual Fusion. [PDF]
Plants (Basel)Zheng S +7 more
europepmc +1 more source
Automated landscape element recognition and layout optimization based on image segmentation and object detection. [PDF]
Sci RepZhang H, Tang N, Sun J.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Scale-space approximated convolutional neural networks for retinal vessel segmentation
Computer Methods and Programs in Biomedicine, 2019Retinal fundus images are widely used to diagnose retinal diseases and can potentially be used for early diagnosis and prevention of chronic vascular diseases and diabetes. While various automatic retinal vessel segmentation methods using deep learning have been proposed, they are mostly based on common CNN structures developed for other tasks such as ...
Kyoung Jin Noh +2 more
exaly +4 more sources
Size-adapted microcalcification segmentation in mammography utilizing scale-space signatures
Computerized Medical Imaging and Graphics, 2010The purpose of this study is size-adapted segmentation of individual microcalcifications in mammography, based on microcalcification scale-space signature estimation, enabling robust scale selection for initialization of multiscale active contours. Segmentation accuracy was evaluated by the area overlap measure, by comparing the proposed method and two
Lena Costaridou, Anna Karahaliou
exaly +4 more sources