A Comprehensive Study of Deep Learning Methods for Kidney Tumor, Cyst, and Stone Diagnostics and Detection Using CT Images

Y Kumar, TPS Brar, C Kaur, C Singh - Archives of Computational Methods …, 2024 - Springer
Kidney disease affects millions worldwide which emphasizes the need for early detection.
Recent advancements in deep learning have transformed medical diagnostics and provide …

Digital twin of renal system with CT-radiography for the early diagnosis of chronic kidney diseases

N Sasikaladevi, A Revathi - Biomedical Signal Processing and Control, 2024 - Elsevier
Kidney failure, also called as end-stage renal disease is the final stage of chronic kidney
disease (CKD). Kidney failure cannot be revered and is the life-threatening if left untreated …

[HTML][HTML] Automated Lung Cancer Diagnosis Applying Butterworth Filtering, Bi-Level Feature Extraction, and Sparce Convolutional Neural Network to Luna 16 CT …

NY Gharaibeh, R De Fazio, B Al-Naami… - Journal of …, 2024 - ncbi.nlm.nih.gov
Accurate prognosis and diagnosis are crucial for selecting and planning lung cancer
treatments. As a result of the rapid development of medical imaging technology, the use of …

[HTML][HTML] A hybrid deep learning scheme for MRI-based preliminary multiclassification diagnosis of primary brain tumors

Z Wang, C He, Y Hu, H Luo, C Li, X Wu… - Frontiers in …, 2024 - ncbi.nlm.nih.gov
Objectives The diagnosis and treatment of brain tumors have greatly benefited from
extensive research in traditional radiomics, leading to improved efficiency for clinicians. With …

RenalNet: An End-to-End Hybrid Deep Learning and Ensemble Model for Accurate Kidney Disorder Classification

F Haque, MAI Siddique… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Kidney disorders are a major public health issue affecting millions worldwide. Renal calculi
and cancer are prevalent, causing chronic kidney disease (CKD). Artificial intelligence can …

Lung Cancer Detection Using Convolutional Neural Networks from Computed Tomography Images

AS Ali, MM Iqbal, AH Khan, N Hameed, S Bibi - Journal of Computing & …, 2023 - jcbi.org
Lung Cancer is one of the most prevalent diseases that is affected in its early stages to
improve the chance that patients will survive is lung disease. In this study, a Convolutional …

Applications of Artificial Intelligence in Lung Carcinoma: Bibliometric Analysis for Knowledge Mapping and Emerging Trends (2000-2023)

P Yi, S Liu, W Liao, X Zhang, Z Pan, Z He… - Available at SSRN … - papers.ssrn.com
Abstract Background and Objective: The technology of artificial intelligence (AI) has been
extensively applied in the field of lung carcinoma over decades, but no comprehensive …