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Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images.

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第一作者： P Kiran,Rao

第一单位： Artificial Intelligence, Department of Computer Science and Engineering, Ravindra College of Engineering for Women, Kurnool 518001, India.;Department of Computer Science and Engineering, Faculty of Engineering, MS Ramaiah University of Applied Sciences, Bengaluru 560058, India.

作者： P Kiran,Rao ^[1] ; Subarna,Chatterjee ^[2] ; M,Janardhan ^[3] ; K,Nagaraju ^[4] ; Surbhi Bhatia,Khan ^[5] ; Ahlam,Almusharraf ^[6] ; Abdullah I,Alharbe ^[7]

作者单位： Artificial Intelligence, Department of Computer Science and Engineering, Ravindra College of Engineering for Women, Kurnool 518001, India.;Department of Computer Science and Engineering, Faculty of Engineering, MS Ramaiah University of Applied Sciences, Bengaluru 560058, India. ^[1] Department of Computer Science and Engineering, Faculty of Engineering, MS Ramaiah University of Applied Sciences, Bengaluru 560058, India. ^[2] Artificial Intelligence, Department of Computer Science and Engineering, G. Pullaiah College of Engineering and Technology, Kurnool 518008, India. ^[3] Department of Computer Science and Engineering, Indian Institute of Information Technology Design and Manufacturing Kurnool, Kurnool 518008, India. ^[4] Department of Data Science, School of Science, Engineering and Environment, University of Salford, Salford M5 4WT, UK.;Department of Electrical and Computer Engineering, Lebanese American University, Byblos 13-5053, Lebanon. ^[5] Department of Business Administration, College of Business and Administration, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia. ^[6] Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Rabigh 21911, Saudi Arabia. ^[7]

关键词 DeepLabV3+GCAM-attention UNet-PWP adaptive partitioning explainable AI kidney tumor segmentation optimization weight pruning

DOI 10.3390/diagnostics13203244

PMID 37892065

发布时间 2023-10-30

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Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images.

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Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images.

Diagnostics (Basel, Switzerland)

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Diagnostics (Basel, Switzerland)

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