Abnormality detection and localization in chest x-rays using deep convolutional neural networks
Chest X-Rays (CXRs) are widely used for diagnosing abnormalities in the heart and lung
area. Automatically detecting these abnormalities with high accuracy could greatly enhance …
area. Automatically detecting these abnormalities with high accuracy could greatly enhance …
Deep learning-based histopathological segmentation for whole slide images of colorectal cancer in a compressed domain
Automatic pattern recognition using deep learning techniques has become increasingly
important. Unfortunately, due to limited system memory, general preprocessing methods for …
important. Unfortunately, due to limited system memory, general preprocessing methods for …
[HTML][HTML] Comprehensive computer-aided decision support framework to diagnose tuberculosis from chest X-ray images: data mining study
Background: Tuberculosis (TB) is one of the most infectious diseases that can be fatal. Its
early diagnosis and treatment can significantly reduce the mortality rate. In the literature …
early diagnosis and treatment can significantly reduce the mortality rate. In the literature …
Chest x-rays abnormalities localization and classification using an ensemble framework of deep convolutional neural networks
Medical X-rays are one of the primary choices for diagnosis because of their potential to
disclose previously undetected pathologic changes, non-invasive qualities, radiation …
disclose previously undetected pathologic changes, non-invasive qualities, radiation …
Prediction of chest diseases using transfer learning
SB Priya, M Rajamanogaran… - Machine Learning for …, 2021 - Wiley Online Library
People are being affected by pollution and irregular food habits day by day. This leads to the
cause of many kinds of diseases, especially chest diseases such as Pneumothorax …
cause of many kinds of diseases, especially chest diseases such as Pneumothorax …
Detection of thoracic diseases using deep learning
S Palani, A Kulkarni, A Kochara… - ITM web of …, 2020 - itm-conferences.org
The study of using deep learning for detection of various thoracic diseases has been an
active and challenging research area. Chest X-rays are currently the most common and …
active and challenging research area. Chest X-rays are currently the most common and …
Learning from an imbalanced and limited dataset and an application to medical imaging
Chest X-rays (CXRs) are routinely acquired in medical imaging for the purpose of
diagnosing lung diseases. But for many patients, accurate and timely radiologic …
diagnosing lung diseases. But for many patients, accurate and timely radiologic …
Implementing upfront mobile digital chest x-ray for tuberculosis diagnosis in India—feasibility and benefits
B Datta, A Prakash, D Ford, JP Tripathy… - Transactions of The …, 2020 - academic.oup.com
Abstract Background The Tuberculosis (TB) Control Program in India changed the TB
diagnostic algorithm and recommended sputum testing and chest x-ray (CXR) for …
diagnostic algorithm and recommended sputum testing and chest x-ray (CXR) for …
Predictive analysis for human chest diseases detection using transfer learning
RA Ramadan, K Yadav… - … Conference on Computing …, 2020 - ieeexplore.ieee.org
People are being affected by pollution and irregular food habits day by day. This leads to the
cause of many kinds of diseases, especially chest diseases such as Pneumothorax …
cause of many kinds of diseases, especially chest diseases such as Pneumothorax …
Azure-based smart monitoring system for anemia-like pallor
S Roychowdhury, P Hage, J Vasquez - Future Internet, 2017 - mdpi.com
Increasing costs of diagnostic healthcare have necessitated the development of hardware
independent non-invasive Point of Care (POC) systems. Although anemia prevalence rates …
independent non-invasive Point of Care (POC) systems. Although anemia prevalence rates …