Results 61 to 70 of about 2,726 (155)

Pulmonary Tuberculosis Edge Diagnosis System Based on MindSpore Framework: Low-cost and High-precision Implementation with Ascend 310 Chip [PDF]

open access: yesarXiv
Pulmonary Tuberculosis (PTB) remains a major challenge for global health, especially in areas with poor medical resources, where access to specialized medical knowledge and diagnostic tools is limited. This paper presents an auxiliary diagnosis system for pulmonary tuberculosis based on Huawei MindSpore framework and Ascend310 edge computing chip ...
arxiv  

Efficient and Accurate Tuberculosis Diagnosis: Attention Residual U-Net and Vision Transformer Based Detection Framework [PDF]

open access: yesarXiv
Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis, continues to be a major global health threat despite being preventable and curable. This burden is particularly high in low and middle income countries. Microscopy remains essential for diagnosing TB by enabling direct visualization of Mycobacterium tuberculosis in sputum ...
arxiv  

Clinical Observation of Miliary Tuberculosis in Child-hood [PDF]

open access: bronze, 1969
Byung Sum Min   +2 more
openalex   +1 more source

On Novel Approach for Computing Distance based Indices of Anti-tuberculosis Drugs [PDF]

open access: yesarXiv
This work aims to assess the molecular architectures of anti-tuberculosis drugs using both degree-based topological indices and novel distance based indices. We can represent the chemical arrangement as a graph, with atoms serving as the vertices and connections as the edges.
arxiv  

Enhanced Tuberculosis Bacilli Detection using Attention-Residual U-Net and Ensemble Classification [PDF]

open access: yesarXiv
Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains a critical global health issue, necessitating timely diagnosis and treatment. Current methods for detecting tuberculosis bacilli from bright field microscopic sputum smear images suffer from low automation, inadequate segmentation performance, and limited classification accuracy.
arxiv  

EXACT-CT: EXplainable Analysis for Crohn's and Tuberculosis using CT [PDF]

open access: yesarXiv
Crohn's disease and intestinal tuberculosis share many overlapping features such as clinical, radiological, endoscopic, and histological features - particularly granulomas, making it challenging to clinically differentiate them. Our research leverages 3D CTE scans, computer vision, and machine learning to improve this differentiation to avoid harmful ...
arxiv  

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