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Several reasons explain the significant role that chest X-rays play on supporting clinical analysis and early disease detection in pediatric patients, such as low cost, high resolution, low radiation levels, and high availability. In the…

Other Computer Science · Computer Science 2020-10-08 Afonso U. Fonseca , Gabriel S. Vieira , Fabrízzio A. A. M. N. Soares , Renato F. Bulcão-Neto

Since, cancer is curable when diagnosed at an early stage, lung cancer screening plays an important role in preventive care. Although both low dose computed tomography (LDCT) and computed tomography (CT) scans provide more medical…

Image and Video Processing · Electrical Eng. & Systems 2020-07-28 Worawate Ausawalaithong , Sanparith Marukatat , Arjaree Thirach , Theerawit Wilaiprasitporn

Multi-label radiography image classification has long been a topic of interest in neural networks research. In this paper, we intend to classify such images using convolution neural networks with novel localization techniques. We will use…

Image and Video Processing · Electrical Eng. & Systems 2024-07-08 Lalit Pant , Shubham Arora

Chest X-ray radiography (CXR) is an essential medical imaging technique for disease diagnosis. However, as 2D projectional images, CXRs are limited by structural superposition and hence fail to capture 3D anatomies. This limitation makes…

Computer Vision and Pattern Recognition · Computer Science 2026-03-12 Zefan Yang , Ge Wang , James Hendler , Mannudeep K. Kalra , Pingkun Yan

The field of medical imaging is an essential aspect of the medical sciences, involving various forms of radiation to capture images of the internal tissues and organs of the body. These images provide vital information for clinical…

Artificial Intelligence · Computer Science 2023-06-21 Shuvra Sarker , Angona Biswas , MD Abdullah Al Nasim , Md Shahin Ali , Sai Puppala , Sajedul Talukder

We introduce a comprehensive screening platform for the COVID-19 (a.k.a., SARS-CoV-2) pneumonia. The proposed AI-based system works on chest x-ray (CXR) images to predict whether a patient is infected with the COVID-19 disease. Although the…

The imperative for early detection of type 2 diabetes mellitus (T2DM) is challenged by its asymptomatic onset and dependence on suboptimal clinical diagnostic tests, contributing to its widespread global prevalence. While research into…

Machine Learning · Computer Science 2024-12-17 Sanjana Gundapaneni , Zhuo Zhi , Miguel Rodrigues

Deep learning models have shown promise in improving diagnostic accuracy from chest X-rays, but they also risk perpetuating healthcare disparities when performance varies across demographic groups. In this work, we present a comprehensive…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Clemence Mottez , Louisa Fay , Maya Varma , Sophie Ostmeier , Curtis Langlotz

The diagnosis and treatment of chest diseases play a crucial role in maintaining human health. X-ray examination has become the most common clinical examination means due to its efficiency and cost-effectiveness. Artificial intelligence…

Computer Vision and Pattern Recognition · Computer Science 2024-05-09 Jingfeng Yao , Xinggang Wang , Yuehao Song , Huangxuan Zhao , Jun Ma , Yajie Chen , Wenyu Liu , Bo Wang

When pneumonia is not found on a chest X-ray, should the report describe this negative observation or omit it? We argue that this question cannot be answered from the X-ray alone and requires a pragmatic perspective, which captures the…

Computation and Language · Computer Science 2023-11-30 Dang Nguyen , Chacha Chen , He He , Chenhao Tan

Modern diagnostic workflows are increasingly multimodal, integrating diverse data sources such as medical images, structured records, and physiological time series. Among these, electrocardiograms (ECGs) and chest X-rays (CXRs) are two of…

Machine Learning · Computer Science 2025-06-25 Vineet Punyamoorty , Aditya Malusare , Vaneet Aggarwal

Patients undergoing chest X-rays (CXR) often endure multiple lung diseases. When evaluating a patient's condition, due to the complex pathologies, subtle texture changes of different lung lesions in images, and patient condition…

Computer Vision and Pattern Recognition · Computer Science 2023-09-08 Mengliang Zhang , Xinyue Hu , Lin Gu , Liangchen Liu , Kazuma Kobayashi , Tatsuya Harada , Ronald M. Summers , Yingying Zhu

Chest X-ray imaging remains the primary diagnostic tool for pulmonary and cardiac disorders worldwide, yet its accuracy is hampered by radiologist shortages and inter-observer variability. This study presents a systematic comparative…

Image and Video Processing · Electrical Eng. & Systems 2026-03-18 Ali M. Bahram , Saman Muhammad Omer , Hardi M. Mohammed

Reading and interpreting chest X-ray images is one of the most radiologist's routines. However, it still can be challenging, even for the most experienced ones. Therefore, we proposed a multi-model deep learning-based automated chest X-ray…

Image and Video Processing · Electrical Eng. & Systems 2024-01-31 Arief Purnama Muharram , Hollyana Puteri Haryono , Abassi Haji Juma , Ira Puspasari , Nugraha Priya Utama

As the rapid spread of coronavirus disease (COVID-19) worldwide, chest X-ray radiography has also been used to detect COVID-19 infected pneumonia and assess its severity or monitor its prognosis in the hospitals due to its low cost, low…

Image and Video Processing · Electrical Eng. & Systems 2020-09-29 Morteza Heidari , Seyedehnafiseh Mirniaharikandehei , Abolfazl Zargari Khuzani , Gopichandh Danala , Yuchen Qiu , Bin Zheng

Due to its predominantly asymptomatic or mildly symptomatic progression, lung cancer is often diagnosed in advanced stages, resulting in poorer survival rates for patients. As with other cancers, early detection significantly improves the…

Chest radiography is the most common clinical examination type. To improve the quality of patient care and to reduce workload, methods for automatic pathology classification have been developed. In this contribution we investigate the…

Computer Vision and Pattern Recognition · Computer Science 2018-10-18 Ivo M. Baltruschat , Leonhard Steinmeister , Harald Ittrich , Gerhard Adam , Hannes Nickisch , Axel Saalbach , Jens von Berg , Michael Grass , Tobias Knopp

Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. COVID-19 appeared first in China and very quickly spreads to the rest of the world, causing then the 2019-20 coronavirus pandemic. In many…

Image and Video Processing · Electrical Eng. & Systems 2020-04-08 Karim Hammoudi , Halim Benhabiles , Mahmoud Melkemi , Fadi Dornaika , Ignacio Arganda-Carreras , Dominique Collard , Arnaud Scherpereel

Accurate and rapid detection of COVID-19 pneumonia is crucial for optimal patient treatment. Chest X-Ray (CXR) is the first line imaging test for COVID-19 pneumonia diagnosis as it is fast, cheap and easily accessible. Inspired by the…

Image and Video Processing · Electrical Eng. & Systems 2023-02-20 Xin Zhang , Liangxiu Han , Tam Sobeih , Lianghao Han , Nina Dempsey , Symeon Lechareas , Ascanio Tridente , Haoming Chen , Stephen White

The widely used ChestX-ray14 dataset addresses an important medical image classification problem and has the following caveats: 1) many lung pathologies are visually similar, 2) a variant of diseases including lung cancer, tuberculosis, and…

Computer Vision and Pattern Recognition · Computer Science 2018-07-26 Zongyuan Ge , Dwarikanath Mahapatra , Suman Sedai , Rahil Garnavi , Rajib Chakravorty