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SVM-ERFE: An Enhanced Method for Identification of Metastatic and Relapsing Nature of Breast Cancer
Abhijit Kumar;Sumit Kumar;Kevin Riou;Amitaya Choudhury;Gurinder Singh;Sudhanshu Tripathi
2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS)
Year: 2024 | Conference Paper |
Classifying breast cancer into metastatic non-metastatic is crucial for a women that undergoing for surgery, because of the heavy treatment associated with metastatic cancers. With the advancement of micro array technology, identifying gene signatures from large genes dataset becomes an efficient approach to predict or classify cancerous genes. We proposed an algorithm based on support vector mach...Show More
A Local Feature Extraction Mechanism for Effective Content Based Image Retrieval
2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET)
Year: 2022 | Conference Paper |
A CBIR system works on the primitive visual features extracted from the images of a concerned database. A CBIR system should provide better results and need to have a close resemblance with human perception. So, to keep these points in mind, in this paper, we have proposed a CBIR system that works on local image features to provide better efficiency. In contrast, the HSV color model has been incor...Show More
A Secure Medical Image Retrieval Technique using Encrypted Query Image
2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
In recent, electronic medical records of patients are frequently used and shared among several hospitals and medical clinics to make the medical records easily available to the medical professionals. The patient data contains private information about the individual patient so the database must be accessible to the concerned person in secured way. Relevant medical image searching and its retrieval...Show More
A CBIR Scheme Using GLCM Features in DCT Domain
2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)
Year: 2017 | Conference Paper |
Cited by: Papers (7)
Analysis of Shape Based Image Retrieval Using Different Wavelets Transforms
2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA)
Year: 2017 | Conference Paper |
Cited by: Papers (1)
The shape of an obj ect is one of a defining factor in image processing. Here we will be focusing on image retrieval techniques relevant to shape features. The similarity within these shape features are calculated using wavelets transforms, principal components using Singular Value Decomposition(SVD) and clustering via K-Means.Show More
New method of noise removal in images using curvelet transform
International Conference on Computing, Communication & Automation
Year: 2015 | Conference Paper |
Cited by: Papers (1)
The term Curvelet transform in the field of Image Processing is quite well known from past few years. Its ability to detect curved features and smooth areas in an image marks its huge importance in the area of image denoising. However the ability to denoise image depends upon the selection and application of threshold after doing Curvelet based decomposition of an image. In this paper we are prese...Show More
DT-CWT: Feature level image fusion based on dual-tree complex wavelet transform
International Conference on Information Communication and Embedded Systems (ICICES2014)
Year: 2014 | Conference Paper |
Cited by: Papers (3)
Image fusion is the process of combining information from two or more sensed or acquired images into a single composite image that is more informative and becomes more suitable for visual processing or computer processing. Image fusion fully utilizes much complementary and redundant information of the original images. The aim of image fusion is to integrate complementary and redundant information ...Show More
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