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Titlebook: Biomedical Engineering Science and Technology; Second International Bikesh Kumar Singh,G.R. Sinha,Rishikesh Pandey Conference proceedings 2

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51#
發(fā)表于 2025-3-30 11:43:16 | 只看該作者
An Enhancement in K-means Algorithm for Automatic Ultrasound Image Segmentation,he proposed method with other state-of-the-art methods. A total of 1293 BUS images are used in this study. According to the quantitative experimental findings, the suggested method can successfully segment the BUS images with an accuracy of 91.66%. Compared to existing methods, the proposed approach
52#
發(fā)表于 2025-3-30 14:17:16 | 只看該作者
Performance Analysis of Recent Algorithms for Compression of Various Medical Images, Decomposition (SVD) is implemented respectively. Then three combination of hybrid technique i.e. lossless and lossy image compression technique Huffman?+?Singular Value Decomposition (SVD), Lempel-Ziv-Welch (LZW)?+?Discrete Cosine Transform (DCT) and Set Partitioning in Hierarchical Trees (SPHIT)?+
53#
發(fā)表于 2025-3-30 20:29:37 | 只看該作者
Smart Gaming System for Hand Rehabilitation,roposed system gives the most efficient strategy of hand tracking that uses 2D visual information in 3D to make the patient focus on rehabilitation to increase their hand movements, the patient receives treatment while manipulating a physical object that is monitored to assess how well they are doin
54#
發(fā)表于 2025-3-30 22:14:49 | 只看該作者
55#
發(fā)表于 2025-3-31 03:39:39 | 只看該作者
Deep Transfer Learning for Schizophrenia Detection Using Brain MRI,ance. Therefore, we employ the axial view of brain scans as it contains the subcortical region and ventricular areas which contribute most to the prediction of schizophrenia. Axial view images are used to train transfer learning-based VGG19 model for schizophrenia identification. This study uses a C
56#
發(fā)表于 2025-3-31 05:24:58 | 只看該作者
An Efficient Approach for Early Prediction of Sudden Cardiac Death Using Two-Stage Feature Selectio non-linear method-based features. These features along with wavelet features and statistical features were considered for the selection of significant features. In this work, a two-stage feature selection method is proposed based on mutual information (MI) and recursive feature elimination (RFE) al
57#
發(fā)表于 2025-3-31 12:07:36 | 只看該作者
58#
發(fā)表于 2025-3-31 15:18:11 | 只看該作者
59#
發(fā)表于 2025-3-31 21:09:52 | 只看該作者
60#
發(fā)表于 2025-4-1 00:37:29 | 只看該作者
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