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Kidney Tumor Recognition from Abdominal CT Images using ...
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In this paper, a method based on transfer learning using deep convolutional neural network (DCNN) is proposed to recognize kidney tumor from computed tomography ...
Abstract— Kidney tumor is a health concern that affects kidney cells and may leads to mortality depending on their type. Benign tumors can be unproblematic ...
Sep 13, 2023 · In this paper, a method based on transfer learning using deep convolutional neural network (DCNN) is proposed to recognize kidney tumor from ...
Kidney Tumor Recognition from Abdominal CT Images using Transfer Learning. https://doi.org/10.1109/ismvl57333.2023.00021.
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Oct 22, 2022 · To investigate the effect of transfer learning on CT, they used 192 CT scans for patients to differentiate between benign and malignant tumors ...
By adding more external information to the SSLSD-KTD method with transfer learning, accuracy results of 99.82 % and 95.24 % were obtained on the same datasets.
TL is particularly beneficial for cancer detection and diagnosis, including KC [38, 39] . Utilizing a pre-trained DL model, like a CNN , fine-tuned on kidney ...
Jul 6, 2022 · This research deals with the three major renal diseases categories: kidney stones, cysts, and tumors, and gathered and annotated a total of ...
May 19, 2023 · Deep learning can potentially be used to identify malignant renal tumors using deep transfer learning ... Deep Learning Using CT Images to Grade ...
system using machine learning and fine-tuned transfer learning for efficient kidney tumor detection in CT images, achieving high accuracy using different ...