Alnazer I, Bourdon P, Urruty T, Falou O, Khalil M, Shahin A, Fernandez-Maloigne C (2021) Recent advances in medical image processing for the evaluation of chronic kidney disease. Med Image Anal 69:101960
Kim DH, Ye SY (2021) Classification of chronic kidney disease in sonography using the GLCM and artificial neural network. Diagnostics 11(5):864
Article PubMed PubMed Central Google Scholar
Debal DA, Sitote TM (2022) Chronic kidney disease prediction using machine learning techniques. J Big Data 9(1):109
Islam MA, Majumder MZ, Hussein MA (2023) Chronic kidney disease prediction based on machine learning algorithms. J Pathol Inform 14:100189
Article PubMed PubMed Central Google Scholar
Hussain MA, Hamarneh G, Garbi R (2021) Cascaded regression neural nets for kidney localization and segmentation-free volume estimation. IEEE Trans Med Imaging 40(6):1555–1567
Jiang L, Chen W, Dong B, Mei K, Zhu C, Liu J, Cai M, Yan Y, Wang G, Zuo L, Shi H (2021) A deep learning-based approach for glomeruli instance segmentation from multistained renal biopsy pathologic images. Am J Pathol 191(8):1431–1441
Silveira AC, Sobrinho Á, Silva LD, Costa ED, Pinheiro ME, Perkusich A (2022) Exploring early prediction of chronic kidney disease using machine learning algorithms for small and imbalanced datasets. Appl Sci 12(7):3673
Dritsas E, Trigka M (2022) Machine learning techniques for chronic kidney disease risk prediction. Big Data Cogn Comput 6(3):98
Appiahene P, Asare JW, Donkoh ET, Dimauro G, Maglietta R (2023) Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms. BioData Min 16(1):2
Article PubMed PubMed Central CAS Google Scholar
Rashed-Al-Mahfuz M, Haque A, Azad A, Alyami SA, Quinn JM, Moni MA (2021) Clinically applicable machine learning approaches to identify attributes of chronic kidney disease (CKD) for use in low-cost diagnostic screening. IEEE J Transl Eng Health Med 9:1–1
Almustafa KM (2021) Prediction of chronic kidney disease using different classification algorithms. Inf Med Unlocked 24:100631
Ilyas H, Ali S, Ponum M, Hasan O, Mahmood MT, Iftikhar M, Malik MH (2021) Chronic kidney disease diagnosis using decision tree algorithms. BMC Nephrol 22(1):273
Article PubMed PubMed Central Google Scholar
Yao L, Zhang H, Zhang M, Chen X, Zhang J, Huang J, Zhang L (2021) Application of artificial intelligence in renal disease. Clin eHealth 4:54–61
Rajasenbagam T, Jeyanthi S, Pandian JA (2021) Detection of pneumonia infection in lungs from chest X-ray images using deep convolutional neural network and content-based image retrieval techniques. J Ambient Intell Human Comput 1–8.
Singh V, Asari VK, Rajasekaran R (2022) A deep neural network for early detection and prediction of chronic kidney disease. Diagnostics 12(1):116
Article PubMed PubMed Central Google Scholar
Lee CL, Liu WJ, Tsai SF (2022) Development and validation of an insulin resistance model for a population with chronic kidney disease using a machine learning approach. Nutrients 14(14):2832
Article PubMed PubMed Central CAS Google Scholar
Puttagunta M, Ravi S (2021) Medical image analysis based on deep learning approach. Multimed Tools Appl 80(16):24365–24398
Article PubMed PubMed Central Google Scholar
Su Z, Tavolara TE, Carreno-Galeano G, Lee SJ, Gurcan MN, Niazi MK (2022) Attention2majority: weak multiple instance learning for regenerative kidney grading on whole slide images. Med Image Anal 79:102462
Article PubMed PubMed Central Google Scholar
Salvi M, Mogetta A, Gambella A, Molinaro L, Barreca A, Papotti M, Molinari F (2021) Automated assessment of glomerulosclerosis and tubular atrophy using deep learning. Comput Med Imaging Graph 90:101930
Saif D, Sarhan AM, Elshennawy NM (2023) Deep-kidney: an effective deep learning framework for chronic kidney disease prediction. Health Inf Sci Syst 12(1):3
Article PubMed PubMed Central Google Scholar
Chittora P, Chaurasia S, Chakrabarti P, Kumawat G, Chakrabarti T, Leonowicz Z, Jasiński M, Jasiński Ł, Gono R, Jasińska E, Bolshev V (2021) Prediction of chronic kidney disease-a machine learning perspective. IEEE Access 9:17312–17334
Ebiaredoh-Mienye SA, Swart TG, Esenogho E, Mienye ID (2022) A machine learning method with filter-based feature selection for improved prediction of chronic kidney disease. Bioengineering 9(8):350
Article PubMed PubMed Central CAS Google Scholar
Venkatesan VK, Ramakrishna MT, Izonin I, Tkachenko R, Havryliuk M (2023) Efficient data preprocessing with ensemble machine learning technique for the early detection of chronic kidney disease. Appl Sci 13(5):2885
Yang X, Zhao D, Yu F, Heidari AA, Bano Y, Ibrohimov A, Liu Y, Cai Z, Chen H, Chen X (2022) An optimized machine learning framework for predicting intradialytic hypotension using indexes of chronic kidney disease-mineral and bone disorders. Comput Biol Med 145:105510
Article PubMed CAS Google Scholar
Rao PK, Chatterjee S, Nagaraju K, Khan SB, Almusharraf A, Alharbi AI (2023) Fusion of graph and tabular deep learning models for predicting chronic kidney disease. Diagnostics 13(12):1981
Article PubMed PubMed Central Google Scholar
Arif MS, Mukheimer A, Asif D (2023) Enhancing the early detection of chronic kidney disease: a robust machine learning model. Big Data Cogn Comput 7(3):144
Venkatrao K, Kareemulla S (2023) HDLNET: a hybrid deep learning network model with intelligent IoT for detection and classification of chronic kidney disease. IEEE Access. https://doi.org/10.1109/ACCESS.2023.3312183
Swain D, Mehta U, Bhatt A, Patel H, Patel K, Mehta D, Acharya B, Gerogiannis VC, Kanavos A, Manika S (2023) A robust chronic kidney disease classifier using machine learning. Electronics 12(1):212
Aswathy RH, Suresh P, Sikkandar MY, Abdel-Khalek S, Alhumyani H, Saeed RA, Mansour RF (2022) Optimized tuned deep learning model for chronic kidney disease classification. Comput Mater Continua 70(2):2097–2111
Almuayqil SN, Abd El-Ghany S, Abd El-Aziz AA, Elmogy M (2024) KidneyNet: A Novel CNN-Based Technique for the Automated Diagnosis of Chronic Kidney Diseases from CT Scans. Electronics 13(24):4981
Elkholy SMM, Rezk A, Saleh AAEF (2021) Early prediction of chronic kidney disease using deep belief network. IEEE Access 9:135542–135549
Hsiao CH, Lin PC, Chung LA, Lin FY, Yang FJ, Yang SY, Wu CH, Huang Y, Sun TL (2022) A deep learning-based precision and automatic kidney segmentation system using efficient feature pyramid networks in computed tomography images. Comput Methods Programs Biomed 221:106854
Liang P, Yang J, Wang W, Yuan G, Han M, Zhang Q, Li Z (2023) Deep learning identifies intelligible predictors of poor prognosis in chronic kidney disease. IEEE J Biomed Health Inform 27(7):3677–3685
Islam MSB, Sumon MSI, Sarmun R, Bhuiyan EH, Chowdhury ME (2024) Classification and segmentation of kidney MRI images for chronic kidney disease detection. Comput Electr Eng 119:109613
Hussain S, Songhua X, Aslam M, Waqas M, Hussain S (2024) Quantum deep learning for automatic chronic kidney disease identification and classification with CT images.
Saif D, Sarhan AM, Elshennawy NM (2024) Early prediction of chronic kidney disease based on ensemble of deep learning models and optimizers. J Electr Syst Inf Technol 11(1):17
Vineetha KR, Maharajan MS, Bhagyashree K, Sivakumar N (2024) Classification of adaptive back propagation neural network along with fuzzy logic in chronic kidney disease. e-Prime Adv Electr Eng Electron Energy 7:100463
Liang Q, Lin H, Li J, Luo P, Qi R, Chen Q, Meng F, Qin H, Qu F, Zeng Y, Wang W (2025) Combining multifrequency magnetic resonance elastography with automatic segmentation to assess renal function in patients with chronic kidney disease. J Magn Reson Imaging 61(6):2543–2555
Comments (0)