Diabetic retinopathy (DR) has already been one of the leading causes of vision loss. A large number of researches about deep learning-based DR screening using color retinal photography images have been proposed in rec...
详细信息
Multi-modal histological image registration tasks pose significant challenges due to tissue staining operations causing partial loss and folding of *** neural network(CNN)and generative adversarial network(GAN)are piv...
详细信息
Multi-modal histological image registration tasks pose significant challenges due to tissue staining operations causing partial loss and folding of *** neural network(CNN)and generative adversarial network(GAN)are pivotal inmedical image ***,existing methods often struggle with severe interference and deformation,as seen in histological images of conditions like Cushing’s *** argue that the failure of current approaches lies in underutilizing the feature extraction capability of the discriminator *** this study,we propose a novel multi-modal registration approach GAN-DIRNet based on GAN for deformable histological image *** begin with,the discriminators of two GANs are embedded as a new dual parallel feature extraction module into the unsupervised registration networks,characterized by implicitly extracting feature descriptors of specific ***,modal feature description layers and registration layers collaborate in unsupervised optimization,facilitating faster convergence and more precise ***,experiments and evaluations were conducted on the registration of the Mixed National institute of Standards and Technology database(MNIST),eight publicly available datasets of histological sections and the Clustering-Registration-Classification-Segmentation(CRCS)dataset on the Cushing’s *** results demonstrate that our proposed GAN-DIRNet method surpasses existing approaches like DIRNet in terms of both registration accuracy and time efficiency,while also exhibiting robustness across different image types.
Small interfering RNA(siRNA)is often used for function study and expression regulation of specific genes,as well as the development of small molecule *** siRNAs with high inhibition and low off-target effects from mas...
详细信息
Small interfering RNA(siRNA)is often used for function study and expression regulation of specific genes,as well as the development of small molecule *** siRNAs with high inhibition and low off-target effects from massive can-didates is always a great *** experimentally-validated samples can prompt the development of machine-learning-based algorithms,including Support Vector Machine(SVM),Convolutional Neural Network(CNN),and Graph Neural Network(GNN).However,these methods still suffer from limited accuracy and poor generalization in designing potent and specific *** this study,we propose a novel approach for siRNA inhibition and off-target effect prediction,named *** combines a self-attention-based siRNA inhibition predictor with an mRNA searching package and an off-target *** predictor gives the inhibition score via analyzing the embedding of siRNA and local mRNA sequences,generated from the pre-trained RNA-FM model,as well as other meaningful prior-knowledge-based ***-attention mechanism can detect potentially decisive features,which may determine the inhibition of *** captures global and local dependencies more efficiently than normal *** tenfold cross-validation results indicate that our model outperforms all existing methods,achieving PCC of 0.81,SPCC of 0.84,and AUC of *** also reaches better performance of generalization and robustness on cross-dataset *** addition,the mRNA searching package could find all mature mRNAs for a given gene name from the GENOMES database,and the off-target filter can calculate the amount of unwanted off-target binding sites,which affects the specificity of *** on five mature siRNA drugs,as well as a new target gene(AGT),show that AttSioff has excellent convenience and operability in practical applications.
DeepFakes blur the boundaries between reality and forgery, resulting in the collapse of exiting credit system, causing immeasurable consequences for national security and social order. Through analysis of existing fac...
详细信息
Recently, Discriminative Correlation Filter based trackers have increasingly become popular in the domain of visual object tracking, which is benefited by their effective and robustness in terms of tracking performanc...
详细信息
We propose an unsupervised person search method for video surveillance. This method considers both the spatial features of persons within each frame and the temporal relationship of the same person among different fra...
详细信息
Lowering radiation dose per view and utilizing sparse views per scan are two common CT scan modes, albeit often leading to distorted images characterized by noise and streak artifacts. Blind image quality assessment (...
详细信息
engineering education accreditation emphasizes the cultivation of students' ability to solve complex engineering problems, including the cultivation of students' ability to analyze, design and develop solution...
详细信息
Visual place recognition (VPR) is a highly challenging task that has a wide range of applications, including robot navigation and self-driving vehicles. VPR is particularly difficult due to the presence of duplicate r...
详细信息
Automated segmentation of retinal vessels is challenged by the complexity of curvilinear structures. In this work, we formulate the segmentation task as the decomposition and interaction of topological and scale featu...
Automated segmentation of retinal vessels is challenged by the complexity of curvilinear structures. In this work, we formulate the segmentation task as the decomposition and interaction of topological and scale features of vessels. The connectivity of the curvilinear structure is preserved by the topological properties while the scale features characterize the local morphology. Therefore, we propose a decomposition-then-interaction framework for retinal vessel segmentation. A multi-branch network is designed where the centerline map and scale map are obtained from the original segmentation ground truth to fully exploit these features. The features from auxiliary branches have interacted with cross attention which finally generates the masks of retinal vessels. Experiments on DRIVE, CHASE-DB1, and STARE datasets demonstrate the promising accuracy of the proposed method.
暂无评论