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- Improving the Efficiency of Medical Image Segmentation Based on Histogram Analysis
- Semantic Segmentation of an Image Using Random Forest and Single Histogram Class Model
- A Review of Computer Vision Segmentation Algorithms
- Fingerprint Image Segmentation Based on Oriented Pattern Analysis
- Image Segmentation Using Discrete Cosine Texture Feature
- Image Segmentation Regions and Edges Regions and Edges
- A Comparison of Image Segmentation Algorithms
- MRI Images, Brain Lesions and Deep Learning
- Segmenting Images with a Deep Auto-Encoder and K-Means Clustering
- Textural Image Segmentation Using Discrete Cosine Transform
- Latent Fingerprint Image Segmentation Using Deep Neural Network
- Fingerprint Image Enhancement: Segmentation to Thinning
- A Cognitive Vision Approach to Image Segmentation Vincent Martin, Monique Thonnat
- Image Segmentation by Using Histogram Thresholding
- Object Class Segmentation Using Random Forests
- Recent Progress in Semantic Image Segmentation
- Dynamic Image Segmentation Method Using Hierarchical Clustering
- Deep Embedding Learning for Efficient Image Segmentation
- A Review on Image Segmentation with Its Clustering Techniques
- Topology-Preserving Deep Image Segmentation
- Color Image Segmentation Using Acceptable Histogram Segmentation
- Deep Dual Learning for Semantic Image Segmentation
- Harmonic Convolutional Networks Based on Discrete Cosine Transform Arxiv:2001.06570V2
- Various Image Segmentation Techniques: a Review
- A Novel Approach Towards Clustering Based Image Segmentation
- Synthetic Skull Bone Defects for Automatic Patient-Specific Craniofacial Implant Design
- Region-Based Conditional Random Fields for Medical Image Labeling YAN Yang
- A Road Segmentation Method Based on the Deep Auto-Encoder With
- Image Segmentation Digital Compositing for Special Effects in Movies
- Image Segmentation Based on Adaptive K-Means Algorithm Xin Zheng, Qinyi Lei, Run Yao, Yifei Gong and Qian Yin*
- A Novel Approach for Image Segmentation Based on Histograms Computed from Hue-Data Viraj Mavani Electronics and Communication Department, L
- ANALYZING GUIDANCE INFORMATION USING RANDOM FORESTS for THERAPEUTIC IMAGE SEGMENTATION PROCESS *1Mrs
- CS 4495 Computer Vision Segmentation
- Segmentation and Visualization of 3D Medical Images Through Haptic Rendering
- Semantic Segmentation of Images Exploiting DCT Based Features and Random Forest
- Medical Image Analysis Detection, Segmentation, Simulation and Visualization of Aortic Dissections: a Review
- Deep Learning Based 3D Image Segmentation Methods and Applications
- A Markov Random Field Description of Fuzzy Color Segmentation
- 3D Visualization and Analysis J
- Multi-Visualization and Hybrid Segmentation Approaches Within Telemedicine Framework
- The Use of Discrete Cosine Transform for Satellite Images Segmentation and Comparison to Statistical Metrics Ana Carolina Quint
- Efficient Graph-Based Image Segmentation
- Image Segmentation
- A Review of Image Segmentation Using Clustering Methods
- An Auto-Encoder Strategy for Adaptive Image Segmentation
- Convolutional Neural Networks for Brain Tumour Segmentation Abhishta Bhandari1,2*, Jarrad Koppen1 and Marc Agzarian3,4
- Review of Image Segmentation Techniques Including Pre & Post
- Image Segmentation
- Fully Automated 3D Colon Segmentation and Volume Rendering in Virtual Reality
- Histogram Based Evolutionary Dynamic Image Segmentation
- Deep Direct Volume Rendering: Learning Visual Feature Mappings from Exemplary Images
- Image Segmentation Algorithms Overview Song Yuheng1, Yan Hao1 (1
- A Review of Deep-Learning-Based Medical Image Segmentation Methods
- A Client/Server Based Online Environment for the Calculation of Medical Segmentation Scores Maximilian Weber A,B, Daniel Wild A,B, Jürgen Wallner B,C, Jan Egger A,B,C
- Semantic Image Segmentation Using Deep Convolutional Neural Networks and Super-Pixels
- Image Segmentation
- New Results on Sparse Autoencoders for Posture Classification And
- A New Fingerprint Image Segmentation Algorithm Based on ROI
- Deep Learning for Image Segmentation: Veritable Or Overhyped?
- Image Segmentation Using Convolutional Neural Network
- Fingerprint Segmentation Approach for Human Identification -.:: Natural Sciences Publishing
- Fingerprint Segmentation
- Image Segmentation Based on Local Spectral Histograms and Linear Regression
- Convolutional Neural Networks for Brain Tumour Segmentation Abhishta Bhandari1,2*, Jarrad Koppen1 and Marc Agzarian3,4
- Fast Volume Segmentation with Simultaneous Visualization Using Programmable Graphics Hardware
- Image Segmentation Using Deep Learning: a Survey
- REAL-TIME MOTION DETECTION BASED on DISCRETE COSINE TRANSFORM Tae-Hyun Oh, Joon-Young Lee, in So Kweon Robotics and Computer