Carcinoembryonic Antigens Segmentation and Quantitative Analysis from Fluorescent Images using Principal Component Analysis and Adaptive K-means Clustering
Author:
Affiliation:
1. GIFT University,Electrical Engineering Department,Gujranwla,Pakistan
2. UESTC,Information and Communication Department,Chengdu,China
3. SCET,Electrical Enginering Department,Rahim Yar Khan,Pakistan
4. Lahore Grammar School,Lahore,Pakistan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10209409/10209401/10209525.pdf?arnumber=10209525
Reference21 articles.
1. Image Segmentation Using K -means Clustering Algorithm and Subtractive Clustering Algorithm
2. Computer-aided detection of multiple sclerosis lesions in brain magnetic resonance images: False positive reduction scheme consisted of rule-based, level set method, and support vector machine
3. Smartphone-Based Dual-Modality Imaging System for Quantitative Detection of Color or Fluorescent Lateral Flow Immunochromatographic Strips
4. What Makes a Patch Distinct?
5. Superpixel-based spectral classification for the detection of head and neck cancer with hyperspectral imaging;chung;Medical Imaging 2016 Biomedical Applications in Molecular Structural and Functional Imaging,2016
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