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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.…

图像与视频处理 · 电气工程与系统科学 2025-01-08 Greeshma K , Vishnukumar S

Tuberculosis(TB) in India is the world's largest TB epidemic. TB leads to 480,000 deaths every year. Between the years 2006 and 2014, Indian economy lost US$340 Billion due to TB. This combined with the emergence of drug resistant bacteria…

计算机视觉与模式识别 · 计算机科学 2018-01-23 Sonaal Kant , Muktabh Mayank Srivastava

Tuberculosis (TB) is caused by the bacterium Mycobacterium tuberculosis, primarily affecting the lungs. Early detection is crucial for improving treatment effectiveness and reducing transmission risk. Artificial intelligence (AI),…

图像与视频处理 · 电气工程与系统科学 2024-09-19 A. A. G. Yogi Pramana , Faiz Ihza Permana , Muhammad Fazil Maulana , Dzikri Rahadian Fudholi

Purpose:Chest X-ray (CXR) is an essential tool and one of the most prescribed imaging to detect pulmonary abnormalities, with a yearly estimate of over 2 billion imaging performed worldwide. However, the accurate and timely diagnosis of TB…

计算机视觉与模式识别 · 计算机科学 2023-07-28 Subhankar Chattoraj , Bhargava Reddy , Manoj Tadepalli , Preetham Putha

Tuberculosis remains a critical global health issue, particularly in resource-limited and remote areas. Early detection is vital for treatment, yet the lack of skilled radiologists underscores the need for artificial intelligence…

计算机视觉与模式识别 · 计算机科学 2025-10-22 Neel Patel , Alexander Wong , Ashkan Ebadi

Tuberculosis (TB) is a major global health threat, causing millions of deaths annually. Although early diagnosis and treatment can greatly improve the chances of survival, it remains a major challenge, especially in developing countries.…

计算机视觉与模式识别 · 计算机科学 2023-12-06 Yun Liu , Yu-Huan Wu , Shi-Chen Zhang , Li Liu , Min Wu , Ming-Ming Cheng

Artificial intelligence (AI) systems can detect disease-related acoustic patterns in cough sounds, offering a scalable and cost-effective approach to tuberculosis (TB) screening in high-burden, resource-limited settings. Previous studies…

Tuberculosis (TB) remains a global health threat, ranking among the leading causes of mortality worldwide. In this context, machine learning (ML) has emerged as a transformative force, providing innovative solutions to the complexities…

Clinicians in the frontline need to assess quickly whether a patient with symptoms indeed has COVID-19 or not. The difficulty of this task is exacerbated in low resource settings that may not have access to biotechnology tests. Furthermore,…

图像与视频处理 · 电气工程与系统科学 2021-08-23 Ali H. Al-Timemy , Rami N. Khushaba , Zahraa M. Mosa , Javier Escudero

Tuberculosis is a contagious disease which is one of the leading causes of death, globally. The general diagnosis methods for tuberculosis include microscopic examination, tuberculin skin test, culture method, enzyme linked immunosorbent…

图像与视频处理 · 电气工程与系统科学 2021-05-25 Dinesh Jackson Samuel , Rajesh Kanna Baskaran

As advancements in technology and medicine are being made, many countries are still unable to access quality medical care due to cost and lack of qualified medical personnel. This discrepancy in healthcare has caused many preventable…

图像与视频处理 · 电气工程与系统科学 2022-10-12 Kyler Larsen

Large-scale tuberculosis (TB) screening is limited by the high cost and operational complexity of traditional diagnostics, creating a need for artificial-intelligence solutions. We propose DeepGB-TB, a non-invasive system that instantly…

机器学习 · 计算机科学 2026-02-03 Zhixiang Lu , Yulong Li , Feilong Tang , Zhengyong Jiang , Chong Li , Mian Zhou , Tenglong Li , Jionglong Su

The results of chest X-ray (CXR) analysis of 2D images to get the statistically reliable predictions (availability of tuberculosis) by computer-aided diagnosis (CADx) on the basis of deep learning are presented. They demonstrate the…

机器学习 · 计算机科学 2018-11-19 Sergii Stirenko , Yuriy Kochura , Oleg Alienin , Oleksandr Rokovyi , Peng Gang , Wei Zeng , Yuri Gordienko

We developed a deep learning model-based system to automatically generate a quantitative Computed Tomography (CT) diagnostic report for Pulmonary Tuberculosis (PTB) cases.501 CT imaging datasets from 223 patients with active PTB were…

图像与视频处理 · 电气工程与系统科学 2020-12-18 Wei Wu , Xukun Li , Peng Du , Guanjing Lang , Min Xu , Kaijin Xu , Lanjuan Li

In this work, we propose advanced pneumonia and Tuberculosis grading system for X-ray images. The proposed system is a very deep fully convolutional classification network with online augmentation that outputs confidence values for diseases…

计算机视觉与模式识别 · 计算机科学 2018-07-10 Mrinal Haloi , K. Raja Rajalakshmi , Pradeep Walia

In this work, we investigate the performance across multiple classification models to classify chest X-ray images into four categories of COVID-19, pneumonia, tuberculosis (TB), and normal cases. We leveraged transfer learning techniques…

图像与视频处理 · 电气工程与系统科学 2025-05-29 Alanna Hazlett , Naomi Ohashi , Timothy Rodriguez , Sodiq Adewole

Lung cancer, the second leading cause of cancer-related deaths, is primarily linked to long-term tobacco smoking (85% of cases). Surprisingly, 10-15% of cases occur in non-smokers. In 2020, approximately 2 million people were affected…

计算机视觉与模式识别 · 计算机科学 2026-04-14 Imama Ajmi , Abhishek Das

Tuberculosis (TB) is a contagious disease that causes 1.5 million deaths per year globally. Early diagnosis of TB patients is critical to control its spread. However, standard TB diagnostic tests such as sputum culture take days to weeks to…

医学物理 · 物理学 2022-08-26 Ubaid Ullah , Zarfishan Tahir , Obaidullah Qazi , Shaper Mirza , M. Imran Cheema

Objective: We propose an end-to-end CNN-based locating model for pulmonary tuberculosis (TB) diagnosis in radiographs. This model makes full use of chest radiograph (X-ray) for its improved accessibility, reduced cost and high accuracy for…

图像与视频处理 · 电气工程与系统科学 2019-10-23 Jiwei Liu , Junyu Liu , Yang Liu , Rui Yang , Dongjun Lv , Zhengting Cai , Jingjing Cui

Chest X-rays remains to be the most common imaging modality used to diagnose lung diseases. However, they necessitate the interpretation of experts (radiologists and pulmonologists), who are few. This review paper investigates the use of…

图像与视频处理 · 电气工程与系统科学 2023-03-30 Irad Mwendo , Kinyua Gikunda , Anthony Maina