Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors

Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors

Objectives: Accurate kidney and tumor segmentation of computed tomography (CT) scans is vital for diagnosis and treatment, but manual methods are time-consuming and inconsistent, highlighting the value of AI automation. This study develops a fully automated AI model using vision transformers (ViTs)...

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Bibliographic Details
Main Authors: Nalan Karunanayake, Lin Lu, Hao Yang, Pengfei Geng, Oguz Akin, Helena Furberg, Lawrence H. Schwartz, Binsheng Zhao
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Tomography
Subjects:
kidney cancer
tumor detection and segmentation
deep learning
CECT
vision transformers
convolutional neural networks
Online Access:https://www.mdpi.com/2379-139X/11/1/3
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https://www.mdpi.com/2379-139X/11/1/3

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