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Articles

Pulmonary Nodule Detection in CT Images Using Optimal Multilevel Thresholds and Rule-based Filtering

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Anisha Isaac, H. Khanna Nehemiah & A. Kannan. (2023) Computer-Aided Diagnosis System for Diagnosis of Cavitary and Miliary Tuberculosis Using Improved Artificial Bee Colony Optimization. IETE Journal of Research 69:7, pages 4012-4031.
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D. Amsaveni & M. Malleswaran. (2022) Hybrid Deep Learning Model and Fuzzy C Means Clustering Method for Pulmonary Nodule Detection in CT Images. IETE Journal of Research 0:0, pages 1-13.
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G. Anirudh & Upasana Talukdar. 2023. Machine Learning, Image Processing, Network Security and Data Sciences. Machine Learning, Image Processing, Network Security and Data Sciences 29 40 .
Varsha Singh & Ankit Arora. 2022. Applied Computational Technologies. Applied Computational Technologies 245 252 .
Ashutosh Mishra & Ankit Arora. 2022. Applied Computational Technologies. Applied Computational Technologies 237 244 .
Satya Prakash Sahu, Narendra D. Londhe, Shrish Verma, Bikesh K. Singh & Sumit Kumar Banchhor. (2020) Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine‐learning paradigm. International Journal of Imaging Systems and Technology 31:3, pages 1503-1518.
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Satya Prakash Sahu, Bhawana Kamble & Rajesh Doriya. 2020. Ambient Communications and Computer Systems. Ambient Communications and Computer Systems 369 380 .
Jun Qin, ChuTing Wang & GuiHe Qin. (2019) A Multilevel Image Thresholding Method Based on Subspace Elimination Optimization. Mathematical Problems in Engineering 2019, pages 1-11.
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