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In this paper, we put forward an assistive diagnostic approach for spinal tuberculosis that is based on deep learning. The approach leverages the Mask-RCNN ...
Abstract—The risk of spinal tuberculosis (ST) is particularly high in underdeveloped regions with inadequate medical condi-.
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Article "Mask R-CNN assisted diagnosis of spinal tuberculosis" Detailed information of the J-GLOBAL is an information service managed by the Japan Science ...
Feb 23, 2022 · In this study, a multimodal feature fusion CNN is proposed to classify spinal TB CT images obtained from local grassroots hospitals in the ...
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Mask R-CNN assisted diagnosis of spinal tuberculosis. Conference Paper. Dec ... spinal TB often delay and hinder the accuracy of diagnosis of spinal TB.
This study presents a new approach for automatic segmentation of lung CT scans. •. An original method for image processing using CNNs as kernels.
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Jun 1, 2024 · A novel approach to early TB diagnosis through deep learning integration into an Internet of Things (IoT)-based healthcare application is ...
This paper proposed a novel approach, named the Tuberculosis Segmentation-Guided Diagnosis Model (TSSG-CNN) for Detecting Tuberculosis, using a combined ...
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Readers: Everyone. Mask R-CNN assisted diagnosis of spinal tuberculosis · Wenjun Li, Yanfan Li, Huan Peng, Yongjie Yang, Weijun Liang. Published: 31 Dec 2022 ...
We compare the performance of Faster R-CNN, Mask R-CNN, Cascade versions of each, and SOLOv2, demonstrating reasonable results with a well annotated dataset. We ...
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