Zobrazeno 1 - 10
of 716
pro vyhledávání: '"chest X-ray images"'
Autor:
Syed Taimoor Hussain Shah, Syed Adil Hussain Shah, Iqra Iqbal Khan, Atif Imran, Syed Baqir Hussain Shah, Atif Mehmood, Shahzad Ahmad Qureshi, Mudassar Raza, Angelo Di Terlizzi, Marco Cavaglià, Marco Agostino Deriu
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
Detecting lung diseases in medical images can be quite challenging for radiologists. In some cases, even experienced experts may struggle with accurately diagnosing chest diseases, leading to potential inaccuracies due to complex or unseen biomarkers
Externí odkaz:
https://doaj.org/article/8f90de64a5c949b382b85908a2d6a521
Autor:
Yingjian Yang, Jie Zheng, Peng Guo, Tianqi Wu, Qi Gao, Yingwei Guo, Ziran Chen, Chengcheng Liu, Zhanglei Ouyang, Huai Chen, Yan Kang
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
IntroductionThe cardiothoracic ratio (CTR) based on postero-anterior chest X-rays (P-A CXR) images is one of the most commonly used cardiac measurement methods and an indicator for initially evaluating cardiac diseases. However, the hearts are not re
Externí odkaz:
https://doaj.org/article/c4812ad3039b4d688f8711e8a2712a19
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-15 (2024)
Abstract A crucial step in the battle against the coronavirus disease 2019 (Covid-19) pandemic is efficient screening of the Covid affected patients. Deep learning models are used to improve the manual judgements made by healthcare professionals in c
Externí odkaz:
https://doaj.org/article/d3bea397a21f4ef59e82be6aa0f6f6c0
Publikováno v:
IEEE Access, Vol 12, Pp 108248-108262 (2024)
Lung diseases pose significant challenges to public health worldwide, requiring accurate and efficient diagnostic methods for timely intervention. This research introduces a novel approach that uses deep learning algorithms on chest X-ray images gene
Externí odkaz:
https://doaj.org/article/db414e9fa2ad48489cdf56ace01bcd16
Autor:
Asha Latha Thandu, Pradeepini Gera
Publikováno v:
IEEE Access, Vol 12, Pp 89968-89985 (2024)
The CoronaVirus Disease of 2019 (COVID19) pandemic poses a significant global challenge, with millions affected and millions of lives lost. This study presents a privacy-conscious technique to early identification of COVID19 using breathing sounds an
Externí odkaz:
https://doaj.org/article/4b355dedeba74fe49f263a7fb8f80ec0
Autor:
Sohamkumar Chauhan, Damoder Reddy Edla, Vijayasree Boddu, M Jayanthi Rao, Ramalingaswamy Cheruku, Soumya Ranjan Nayak, Sheshikala Martha, Kamppa Lavanya, Tsedenya Debebe Nigat
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Deep learning is a highly significant technology in clinical treatment and diagnostics nowadays. Convolutional Neural Network (CNN) is a new idea in deep learning that is being used in the area of computer vision. The COVID-19 detection is t
Externí odkaz:
https://doaj.org/article/9f7968e327c54cec9315981839abfe26
Autor:
M. Shimja, K. Kartheeban
Publikováno v:
Automatika, Vol 65, Iss 1, Pp 312-322 (2024)
The diagnosis of lung disease is a challenging process that frequently combines clinical information, such as patient symptoms, medical history and test findings, with medical imaging, like X-rays or CT scans. The classification of lung diseases is v
Externí odkaz:
https://doaj.org/article/e96f4e6717db405d84ceb9fc26d18c18
Publikováno v:
Vietnam Journal of Computer Science, Vol 10, Iss 04, Pp 499-515 (2023)
Lungs are crucial parts of the human body and can be captured as Chest x-ray images for disease diagnosis. Unfortunately, in many countries, hospitals and healthcare centers lack qualified doctors for medical images-based diagnosis. Recent numerous a
Externí odkaz:
https://doaj.org/article/7033f1c37d2d415cbe8a4e19e36145a6
Autor:
Nagendram Sanam, Singh Arunendra, Harish Babu Gade, Joshi Rahul, Pande Sandeep Dwarkanath, Ahammad S. K. Hasane, Dhabliya Dharmesh, Bisht Aadarsh
Publikováno v:
Open Life Sciences, Vol 18, Iss 1, Pp 317-24 (2023)
In accordance with the inability of various hair artefacts subjected to dermoscopic medical images, undergoing illumination challenges that include chest-Xray featuring conditions of imaging acquisi-tion situations built with clinical segmentation. T
Externí odkaz:
https://doaj.org/article/950e3fbf511c4563905ac8c9eca82f7b
Autor:
Karac Abdulkadir
Publikováno v:
Applied Computer Systems, Vol 28, Iss 1, Pp 44-57 (2023)
The Coronavirus is a virus that spreads very quickly. Therefore, it has had very destructive effects in many areas worldwide. Because X-ray images are an easily accessible, fast, and inexpensive method, they are widely used worldwide to diagnose COVI
Externí odkaz:
https://doaj.org/article/50fd90d8c2714ed19e8712ba4e60c1e8