A K-Nearest Neighbor Technique for Brain Tumor Segmentation Using Minkowski Distance-Reference-Cited by-同舟云学术

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A K-Nearest Neighbor Technique for Brain Tumor Segmentation Using Minkowski Distance

Published:2018-02-01 Issue:2 Volume:8 Page:180-185
ISSN:2156-7018
Container-title:Journal of Medical Imaging and Health Informatics
language:en
Short-container-title:j med imaging hlth inform

Author:

Xie Xiaozhen

Publisher

American Scientific Publishers

Subject

Health Informatics,Radiology Nuclear Medicine and imaging

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of an unsupervised pseudo-deep approach for brain tumor detection in magnetic resonance images;Knowledge-Based Systems;2024-09

2. Enhancing flood-prone area mapping: fine-tuning the K-nearest neighbors (KNN) algorithm for spatial modelling;International Journal of Digital Earth;2024-03-04

3. TumorAwareNet: Deep representation learning with attention based sparse convolutional denoising autoencoder for brain tumor recognition;Multimedia Tools and Applications;2023-08-15

4. LOBO Optimization-Tuned Deep-Convolutional Neural Network for Brain Tumor Classification Approach;Journal of Shanghai Jiaotong University (Science);2023-07-28

5. Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools;Computers in Biology and Medicine;2023-01

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