Analysis of decision tree and k-nearest neighbor algorithm in the classification of breast cancer H Rajaguru, SC SR Asian Pacific journal of cancer prevention: APJCP 20 (12), 3777, 2019 | 98 | 2019 |
Automatic detection and classification of mammograms using improved extreme learning machine with deep learning SRS Chakravarthy, H Rajaguru Irbm 43 (1), 49-61, 2022 | 81 | 2022 |
Performance analysis and detection of micro calcification in digital mammograms using wavelet features C Abirami, R Harikumar, SRS Chakravarthy 2016 International Conference on Wireless Communications, Signal Processing …, 2016 | 65 | 2016 |
Lung cancer detection using probabilistic neural network with modified crow-search algorithm SC SR, H Rajaguru Asian Pacific journal of cancer prevention: APJCP 20 (7), 2159, 2019 | 54 | 2019 |
Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non‐linear regression models: A comparison SR Sannasi Chakravarthy, H Rajaguru International Journal of Imaging Systems and Technology 30 (1), 126-146, 2020 | 51 | 2020 |
Multi-deep CNN based experimentations for early diagnosis of breast cancer SR Sannasi Chakravarthy, N Bharanidharan, H Rajaguru IETE Journal of Research 69 (10), 7326-7341, 2023 | 24 | 2023 |
A novel improved crow‐search algorithm to classify the severity in digital mammograms SR Sannasi Chakravarthy, H Rajaguru International Journal of Imaging Systems and Technology 31 (2), 921-954, 2021 | 21 | 2021 |
Deep learning-based metaheuristic weighted k-nearest neighbor algorithm for the severity classification of breast cancer SRS Chakravarthy, N Bharanidharan, H Rajaguru IRBM 44 (3), 100749, 2023 | 20 | 2023 |
Comparison analysis of linear discriminant analysis and cuckoo-search algorithm in the classification of breast cancer from digital mammograms SC SR, H Rajaguru Asian Pacific journal of cancer prevention: APJCP 20 (8), 2333, 2019 | 16 | 2019 |
Deep‐features with Bayesian optimized classifiers for the breast cancer diagnosis SR Sannasi Chakravarthy, H Rajaguru International Journal of Imaging Systems and Technology 31 (4), 1861-1881, 2021 | 13 | 2021 |
A systematic review on screening, examining and classification of breast cancer SC SR, H Rajaguru 2021 Smart Technologies, Communication and Robotics (STCR), 1-4, 2021 | 13 | 2021 |
Multiclass Paddy Disease Detection Using Filter Based Feature Transformation Technique N Bharanidharan, SRS Chakravarthy, H Rajaguru, VV Kumar, TR Mahesh, ... IEEE Access, 2023 | 11 | 2023 |
Comparison of Leapfrog and single term Haar wavelet series method to solve the second order linear system with singular-A S Karunanithi, S Chakravarthy, S Sekar J. Math. Comput. Sci. 4 (4), 804-816, 2014 | 10 | 2014 |
A systematic review on machine learning algorithms used for forecasting lake‐water level fluctuations SR Sannasi Chakravarthy, N Bharanidharan, H Rajaguru Concurrency and Computation: Practice and Experience 34 (24), e7231, 2022 | 8 | 2022 |
SKMAT‐U‐Net architecture for breast mass segmentation SR Sannasi Chakravarthy, H Rajaguru International Journal of Imaging Systems and Technology 32 (6), 1880-1888, 2022 | 6 | 2022 |
Adaptive median filtering with modified BDND algorithm for the removal of high-density impulse and random noise SS Chakravarthy, SA Subhasakthe Int J Comput Sci Mob Comput 4, 202-7, 2015 | 6 | 2015 |
A Study on Second-Order Linear Singular Systems using Leapfrog Method S Karunanithi, S Chakravarthy, S Sekar International Journal of Scientific & Engineering Research 5 (8), 747-750, 2014 | 6 | 2014 |
Performance analysis of ensemble classifiers and a two-level classifier in the classification of severity in digital mammograms SR Sannasi Chakravarthy, H Rajaguru Soft Computing 26 (22), 12741-12760, 2022 | 5 | 2022 |
Ensemble-based weighted voting approach for the early diagnosis of diabetes mellitus SR Sannasi Chakravarthy, H Rajaguru Sustainable Communication Networks and Application: Proceedings of ICSCN …, 2022 | 5 | 2022 |
Automatic detection and classification of mammograms using improved extreme learning machine with deep learning. IRBM 43 (1), 49–61 SR Sannasi Chakravarthy, H Rajaguru | 5 | 2022 |