The revolution of DNNs in medical imaging (MI) came in 2012, when Li launched ImageNet, a free database of more than 14 million labeled medical images. This state-of-the-art work presents a comprehensive study for the recent DNNs research directions applied in MI analysis. Clinical and ...
SAM-LCA: a computationally efficient SAM-based model for tuberculosis detection in chest X-raysdoi:10.1007/s00530-025-01808-3TuberculosisComputer-aided diagnosisMedical imaging analysisSegment anything modelLinear attentionTuberculosis (TB) remains a significant global health challenge, with millions of new...
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis - VisionMamba/Awesome_Mamba
在计算机视觉领域,Vision Transformer(ViT)、CLIP、SAM、DINOv2 等代表性工作已经证明,同步增大(scaling up)神经网络尺寸和训练数据规模能够显著拓展识别、检测、分割等大量重要视觉任务的性能边界。 然而,大型基础模型往往具有高昂的训练开销,...
* 其他: Accepted for presentation at MICCAI Workshop on 2nd Resource-Efficient Medical Image Analysis (REMIA) 人脸识别 4篇 * 题目: Age Prediction From Face Images Via Contrastive Learning* PDF: arxiv.org/abs/2308.1189* 作者: Yeongnam Chae,Poulami Raha,Mijung Kim,Bjorn Stenger* 其他: MVA...
此外,作为一种插件方法,SAM-DETR ++可以以更好的性能补充现有的DITR收敛解决方案,仅使用12个训练时代获得44.8%的AP和49.1%的AP,并使用Resnet-50上的CoCo Val2017上的50个训练时代获得50个训练时期。代码可在此HTTPS URL上找到。* Content-oriented learned image compression* 链接: arxiv.org/abs/2207.1416* ...
Image segmentation is the process of separating pixels of an image into multiple classes, enabling the analysis of objects in the image. Multilevel thresholding (MTH) is a method used to perform this task, and the problem is to obtain an optimal threshol
The software then automatically generates 3D segmentation for each tooth. For 2D photos (on the top of Fig 3), we first ask orthodon- tists to label the central point of each tooth class. We then use SAM [19], an open-source image segmentati...
Download: Download full-size image Figure 1. Qualitative and quantitative assessment of the E3filter for E. coli proteome analysis (A–C) Comparison of the number of proteins, peptides, and PSMs between the E3filter, FASP, and SP4-GB approaches. Error bars represent three replicates. (D and...
Image compression algorithms are broadly classified into lossy and lossless technique as shown in Fig. 3. Loss less compression is suitable for applications where image degradation is not tolerable i.e., field of medical imaging. The images which are compressed using lossy techniques will not be ...