Detection and classification of medical images using deep learning for chronic kidney disease

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

Article  PubMed  Google Scholar 

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

Article  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  Google Scholar 

Dritsas E, Trigka M (2022) Machine learning techniques for chronic kidney disease risk prediction. Big Data Cogn Comput 6(3):98

Article  Google Scholar 

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

Article  Google Scholar 

Almustafa KM (2021) Prediction of chronic kidney disease using different classification algorithms. Inf Med Unlocked 24:100631

Article  Google Scholar 

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

Article  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  Google Scholar 

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

Article  CAS  Google Scholar 

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

Article  Google Scholar 

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

Article  Google Scholar 

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

Article  Google Scholar 

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

Article  Google Scholar 

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

Article  Google Scholar 

Elkholy SMM, Rezk A, Saleh AAEF (2021) Early prediction of chronic kidney disease using deep belief network. IEEE Access 9:135542–135549

Article  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  PubMed  Google Scholar 

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

Article  Google Scholar 

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

Article  Google Scholar 

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

Article  Google Scholar 

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

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