S
Suresh Chandra Satapathy
Researcher at KIIT University
Publications - 295
Citations - 6372
Suresh Chandra Satapathy is an academic researcher from KIIT University. The author has contributed to research in topics: Computer science & Cluster analysis. The author has an hindex of 34, co-authored 274 publications receiving 3853 citations. Previous affiliations of Suresh Chandra Satapathy include Gandhi Institute of Technology and Management & St. Joseph's College of Engineering.
Papers
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Journal ArticleDOI
Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images
Abhir Bhandary,G. Ananth Prabhu,Venkatesan Rajinikanth,K. Palani Thanaraj,Suresh Chandra Satapathy,David E. Robbins,Charles Shasky,Yudong Zhang,João Manuel R. S. Tavares,N. Sri Madhava Raja +9 more
TL;DR: This work proposes two different DL techniques to assess the considered problem, and implements a fusion of handcrafted and learned features in the MAN to improve classification accuracy during lung cancer assessment.
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Entropy based segmentation of tumor from brain MR images a study with teaching learning based optimization
Venkatesan Rajinikanth,Suresh Chandra Satapathy,Steven Lawrence Fernandes,Senthilnathan Nachiappan +3 more
TL;DR: This work proposes the meta-heuristic approach assisted segmentation and analysis of glioma from brain MRI dataset based on tri-level thresholding and level set segmentation, which achieved better values of Jaccard index, dice co-efficient, precision, sensitivity, specificity and accuracy.
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Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network
Yudong Zhang,Yudong Zhang,Suresh Chandra Satapathy,David S. Guttery,Juan Manuel Górriz,Shuihua Wang,Shuihua Wang +6 more
TL;DR: The BDR-CNN-GCN showed improved performance compared to five proposed neural network models and 15 state-of-the-art breast cancer detection approaches, proving to be an effective method for data augmentation and improved detection of malignant breast masses.
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Multi-level image thresholding using Otsu and chaotic bat algorithm
Suresh Chandra Satapathy,N. Sri Madhava Raja,Venkatesan Rajinikanth,Amira S. Ashour,Nilanjan Dey +4 more
TL;DR: In this paper, a novel chaotic bat algorithm (CBA) was proposed for multi-level thresholding in grayscale images using Otsu's between-class variance function.
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Social group optimization (SGO): a new population evolutionary optimization technique
TL;DR: The investigational outcomes show that the proposed social group optimization outperforms all the investigated optimization techniques in computational costs and also provides optimal solutions for most of the functions considered in the work.