… In conclusion, this paper proposes a method for segmenting tumors and kidneys on CT
slices using an EfficientNet U-Net model. The suggested process involves data preparation, …

… Also, [52] proposes a technology that utilizes semantic segmentation to detect kidney cancers
by merging the encoder stage of EfficientNet with U-Net models. from the EfficientNet family…

… , family history of kidney cancer, smoke, obesity, etc. are the main cause of kidney cancer,
which is the worst case of kidney tumor. … why kidney tumor particles are developed in the renal …

… , the ResNet-18 and EfficientNet-B4 present a similar and … the malignant renal tumor and
benign renal tumor and they had … renal cell carcinoma (pRCC), renal sarcoma (RS), MiT family …

… -L2 [19] models from the EfficientNet architecture are used in this research. These two … This
experiment was carried out on three family models that is VGG, ResNet, and EfficientNet, all …

… Adding up EfficientNet Family [17] have concern with the effects of balancing width, depth
and resolution factors, whereas the Seresnet [18] version focuses on channel interactions by …

… , EfficientNet and ResNext encoder types is presented in the experimental section of the
paper. These three types of encoder families … EfficientNet [26] is characterised by a structure …

… EfficientNet ie EfficientNetB0 and EfficientNetB5. EfficientNetB0 is a foundational member
of the EfficientNet family … and computational efficiency, EfficientNet-B0 achieves remarkable …

… Efficient Net deep learning architecture (Efficient Net B0 and Efficient Net B7) is proposed to
classify the brain tumour … scaling is used to evolve family of EfficientNets B0-B7. Compound …

… This study compares various encoder configurations using EfficientNet, U-Net, and SE-…
from the SE-ResNet family for image segmentation, specifically in kidney cancer CT images. The …