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ResNet and ResNeXt-Powered Kidney Tumor Detection: A Robust..:

, In: 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS),

Praveen, S. Phani ; Sidharth, Sampathi Rao ; Priya, Teella Komali... - p. 749-757 , 2023

Link: https://doi.org/10.1109/ICACRS58579.2023.10404405

RT 
T1 <cTitle>2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)</cTitle>: T1 <Title>ResNet and ResNeXt-Powered Kidney Tumor Detection: A Robust Approach on a Subset of the KAUH Dataset</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10404405&Exemplar=1&LAN=DE
				
A1 Praveen, S. Phani
A1 Sidharth, Sampathi Rao
A1 Priya, Teella Komali
A1 Kavuri, Yaswant Sai
A1 Sindhura, Salopantula Mani
A1 Donepudi, Swapna
YR 2023
K1 Renewable energy sources
K1 Scalability
K1 Computer architecture
K1 Convolutional neural networks
K1 Reliability
K1 Kidney
K1 Tumors
K1 Kidney Tumours
K1 Deep Convolutional Neural Networks (CNNs)
K1 ResNet
K1 ResNeXt
K1 Gradient Flow
K1 Renal Cell Carcinoma
K1 Machine Learning
K1 Medical Imaging
K1 Computational Framework
K1 Pre-training
K1 ImageNet
K1 Classification
K1 Categorization
K1 Computed Tomography (CT) Scans
K1 Dataset
K1 Benign and Malignant Tumours
K1 Accuracy
K1 Precision
K1 Area Under the Curve (AUC)
K1 Diagnosis
K1 Solid Renal Masses
K1 Receiver Operating Characteristic Curve (ROC)
SP 749
OP 757
LK http://dx.doi.org/https://doi.org/10.1109/ICACRS58579.2023.10404405
DO https://doi.org/10.1109/ICACRS58579.2023.10404405
SF ELIB - SuUB Bremen

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