Zobrazeno 1 - 10
of 1 533
pro vyhledávání: '"Chest radiographs"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Explainability of convolutional neural networks (CNNs) is integral for their adoption into radiological practice. Commonly used attribution methods localize image areas important for CNN prediction but do not characterize relevant imaging fe
Externí odkaz:
https://doaj.org/article/933854f3e3f34caebec4b7f8fcd1d012
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background The study aimed to develop and validate a deep learning-based Computer Aided Triage (CADt) algorithm for detecting pleural effusion in chest radiographs using an active learning (AL) framework. This is aimed at addressing the crit
Externí odkaz:
https://doaj.org/article/701c1508a6f74addb430aef674215562
Autor:
Kristina Miger, Anne Sophie Overgaard Olesen, Johannes Grand, Andreas Fabricius‐Bjerre, Ahmad Sajadieh, Nis Høst, Nanna Køber, Annemette Abild, Lars Pedersen, Hans Henrik Lawaetz Schultz, Christian Torp‐Pedersen, Mikael Ploug Boesen, Jens Jakob Thune, Olav W. Nielsen
Publikováno v:
ESC Heart Failure, Vol 11, Iss 2, Pp 1163-1173 (2024)
Abstract Aims While computed tomography (CT) is widely acknowledged as superior to chest radiographs for acute diagnostics, its efficacy in diagnosing acute heart failure (AHF) remains unexplored. This prospective study included consecutive patients
Externí odkaz:
https://doaj.org/article/1968d24ecba94109833869ad21fca266
Publikováno v:
International Journal of Anatomy Radiology and Surgery, Vol 13, Iss 02, Pp 04-07 (2024)
Introduction: The most common cause of perinatal dyspnoea, frequently diagnosed on chest radiographs, is Transient Tachypnoea of Newborn (TTN). Lung Ultrasound (LUS) is recognised as a promising tool that has been proven in recent studies and tends t
Externí odkaz:
https://doaj.org/article/21486350d5d44ae3b3a98a91f8c19571
Autor:
Zhaodong Zeng, Jiefang Wu, Genggeng Qin, Dong Yu, Zilong He, Weixiong Zeng, Hao Zhou, Jiongbin Lin, Laiyu Liu, Chunxia Qi, Weiguo Chen
Publikováno v:
Respiratory Research, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background Accurately distinguishing between pulmonary infection and colonization in patients with Acinetobacter baumannii is of utmost importance to optimize treatment and prevent antibiotic abuse or inadequate therapy. An efficient automat
Externí odkaz:
https://doaj.org/article/54d4ff93d25e4d20a86c919bbd0a99ae
Autor:
Bardia Khosravi, Frank Li, Theo Dapamede, Pouria Rouzrokh, Cooper U. Gamble, Hari M. Trivedi, Cody C. Wyles, Andrew B. Sellergren, Saptarshi Purkayastha, Bradley J. Erickson, Judy W. Gichoya
Publikováno v:
EBioMedicine, Vol 104, Iss , Pp 105174- (2024)
Summary: Background: Chest X-rays (CXR) are essential for diagnosing a variety of conditions, but when used on new populations, model generalizability issues limit their efficacy. Generative AI, particularly denoising diffusion probabilistic models (
Externí odkaz:
https://doaj.org/article/7aad470c99b04cc6a0d62701c5eca123
Publikováno v:
Frontiers in Radiology, Vol 3 (2024)
Artificial Intelligence (AI) methods, particularly Deep Neural Networks (DNNs), have shown great promise in a range of medical imaging tasks. However, the susceptibility of DNNs to producing erroneous outputs under the presence of input noise and var
Externí odkaz:
https://doaj.org/article/bfdd15c97ff94ba18b0d4f4bc968798b
Autor:
Zuhal Y. Hamd
Publikováno v:
International Journal of Biomedicine, Vol 13, Iss 1, Pp 20-25 (2023)
Background: Imaging techniques such as chest X-ray (CXR), computed tomography pulmonary angiography (CTPA), ventilation-perfusion (V/Q) scintigraphy, and magnetic resonance imaging (MRI) are some methods used to detect and manage acute pulmonary embo
Externí odkaz:
https://doaj.org/article/7b1ca03fd68447f58a6413b6317382a9
Publikováno v:
AI, Vol 3, Iss 4, Pp 931-947 (2022)
Lung segmentation plays an important role in computer-aided detection and diagnosis using chest radiographs (CRs). Currently, the U-Net and DeepLabv3+ convolutional neural network architectures are widely used to perform CR lung segmentation. To boos
Externí odkaz:
https://doaj.org/article/ae280b94460c451f857573ba8602819b
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
IntroductionRib fractures are a prevalent injury among trauma patients, and accurate and timely diagnosis is crucial to mitigate associated risks. Unfortunately, missed rib fractures are common, leading to heightened morbidity and mortality rates. Wh
Externí odkaz:
https://doaj.org/article/4ed8a89363d04518bc08c0f2b6f2de4d