Results 11 to 20 of about 179 (123)
Multiresolution-Based Singular Value Decomposition Approach for Breast Cancer Image Classification.
Biomed Res Int, 2022 Breast cancer is the most prevalent form of cancer that can strike at any age; the higher the age, the greater the risk. The presence of malignant tissue has become more frequent in women. Although medical therapy has improved breast cancer diagnostic and treatment methods, still the death rate remains high due to failure of diagnosing breast cancer in
Mann S +6 more
europepmc +2 more sources
Multimodal Brain Image Fusion Based on Improved Rolling Guidance Filter and Wiener Filter. [PDF]
Comput Math Methods Med, 2022 Medical image fusion technology can integrate complementary information from different modality medical images to provide a more complete and accurate description of the specific diagnosed object, which is very helpful for image‐guided clinical diagnosis and treatment.
Lin H +5 more
europepmc +2 more sources
An Image Fusion Algorithm Based on Improved RGF and Visual Saliency Map.
Emerg Med Int, 2022 To solve the artifact problem in fused images and the lack of enough generalization under different scenarios of existing fusion algorithms, the paper proposes an image fusion algorithm based on improved RGF and visual saliency map to realize fusion for infrared and visible light images and a multimode medical image.
Li Y, Yang H, Gao Y.
europepmc +2 more sources
Clinical Knowledge Mining Based on Image Enhancement Algorithm: Endoscopic Clinical Analysis of Peptic Ulcer in Children. [PDF]
Comput Intell Neurosci, 2022 The incidence rate of peptic ulcer is increasing gradually. Medical images can meet the needs of patients as an auxiliary diagnosis and treatment method for peptic ulcer. However, in the long‐term treatment, the actual effect is average, and the diagnosis effect of gastrointestinal diseases will gradually deteriorate.
Qiao L, Zhou Y, Shen Y, Sun Q.
europepmc +2 more sources
A New Face Image Recognition Algorithm Based on Cerebellum-Basal Ganglia Mechanism.
J Healthc Eng, 2021 Face recognition is one of the popular areas of research in the field of computer vision. It is mainly used for identification and security system. One of the major challenges in face recognition is identification under numerous illumination environments by changing the direction of light or modifying the lighting magnitude.
Tang S, Shabaz M.
europepmc +2 more sources
Multiscale and multidirection depth map super resolution with semantic inference
IET Image Processing, Volume 17, Issue 13, Page 3670-3687, 13 November 2023., 2023 A novel multiscale and multidirection depth map super resolution framework with semantic inference is proposed to improve the quality of depth maps. In this framework, a multiscale and multidirection depth map contour fusion scheme captures and assembles intrinsic geometrical structures through a multiview non‐subsampled contourlet transform manner ...
Dan Xu +3 more
wiley +1 more source
CEFusion: Multi‐Modal medical image fusion via cross encoder
IET Image Processing, Volume 16, Issue 12, Page 3177-3189, 16 October 2022., 2022 Abstract Most existing deep learning‐based multi‐modal medical image fusion (MMIF) methods utilize single‐branch feature extraction strategies to achieve good fusion performance. However, for MMIF tasks, it is thought that this structure cuts off the internal connections between source images, resulting in information redundancy and degradation of ...
Ya Zhu +3 more
wiley +1 more source
IET Image Processing, Volume 16, Issue 6, Page 1558-1574, May 2022., 2022 Abstract Multi‐focus image fusion technology solves the problem of limited depth of field of the optical lens. It can extract different focus parts under the same target to synthesize a full‐focus image. This paper proposes an unsupervised dense network for multi‐focus image fusion. In the network, a multi‐scale feature extraction module is employed to
Ding Zhou +5 more
wiley +1 more source
CFNet: Context fusion network for multi‐focus images
IET Image Processing, Volume 16, Issue 2, Page 499-508, February 2022., 2022 Abstract Multi‐focus image fusion aims to generate a clear image by fusing multiple source images. Existing deep learning‐based fusion methods often neglect the context information resulting in the loss of detail information. To address this issue, a context fusion network to merge multi‐focus images, namely CFNet, is proposed.
Kang Zhang +3 more
wiley +1 more source
A Review on the Rule‐Based Filtering Structure with Applications on Computational Biomedical Images
Journal of Healthcare Engineering, Volume 2022, Issue 1, 2022., 2022 In this paper, we present rule‐based fuzzy inference systems that consist of a series of mathematical representations based on fuzzy concepts in the filtering structure. It is crucial for understanding and discussing different principles associated with fuzzy filter design procedures.
Xiao-Xia Yin +5 more
wiley +1 more source