Weakly supervised deep learning-based intracranial hemorrhage localization
Intracranial hemorrhage is a life-threatening disease, which requires fast medical
intervention. Owing to the duration of data annotation, head CT images are usually available …
intervention. Owing to the duration of data annotation, head CT images are usually available …
[HTML][HTML] HyM3D: A hybrid method for the automatic 3D reconstruction of a defective cranial vault
A Marzola, KS McGreevy, F Mussa, Y Volpe… - Computer Methods and …, 2023 - Elsevier
Background and objective The ability to accomplish a consistent restoration of a missing or
deformed anatomical area is a fundamental step for defining a custom implant, especially in …
deformed anatomical area is a fundamental step for defining a custom implant, especially in …
[HTML][HTML] 低剂量CT 图像重建算法对脑出血检测性能的影响
符帅， 李明强， 边兆英， 马建华 - Journal of Southern Medical …, 2022 - ncbi.nlm.nih.gov
低剂量CT图像重建算法对脑出血检测性能的影响- PMC Back to Top Skip to main content NIH
NLM Logo Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation …
NLM Logo Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation …
An effective transformer-based solution for RSNA intracranial hemorrhage detection competition
F Shang, S Wang, X Wang, Y Yang - arXiv preprint arXiv:2205.07556, 2022 - arxiv.org
We present an effective method for Intracranial Hemorrhage Detection (IHD) which exceeds
the performance of the winner solution in RSNA-IHD competition (2019). Meanwhile, our …
the performance of the winner solution in RSNA-IHD competition (2019). Meanwhile, our …
Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage
BACKGROUND: Doctors with various specializations and experience order brain computed
tomography (CT) to rule out intracranial hemorrhage (ICH). Advanced artificial intelligence …
tomography (CT) to rule out intracranial hemorrhage (ICH). Advanced artificial intelligence …
Advancing brain metastases detection in T1-weighted contrast-enhanced 3D MRI using noisy student-based training
The detection of brain metastases (BM) in their early stages could have a positive impact on
the outcome of cancer patients. The authors previously developed a framework for detecting …
the outcome of cancer patients. The authors previously developed a framework for detecting …
A weakly supervised-guided soft attention network for classification of intracranial hemorrhage
Intracranial hemorrhage (ICH) classification from computed tomography (CT) scans is
important for accurate diagnosis of stroke in emergency centers. However, it is challenged …
important for accurate diagnosis of stroke in emergency centers. However, it is challenged …
Innovations in detecting skull fractures: A review of computer-aided techniques in CT imaging
Abstract Background/Introduction Traumatic brain injury (TBI) remains a leading cause of
disability and mortality, with skull fractures being a frequent and serious consequence …
disability and mortality, with skull fractures being a frequent and serious consequence …
[PDF][PDF] Ensembled deep neural network for intracranial hemorrhage detection and subtype classification on noncontrast CT images
Y Wu, MP Supanich, D Jie - Journal of Artificial Intelligence for …, 2021 - researchgate.net
Rapid and accurate diagnosis of intracranial hemorrhage is clinically significant to ensure
timely treatment. In this study, we developed an ensembled deep neural network for the …
timely treatment. In this study, we developed an ensembled deep neural network for the …
Basilar tubercles and eminences of the clivus: Novel anatomical entities
T Tangrodchanapong, L Yurasakpong… - Annals of Anatomy …, 2023 - Elsevier
Background The clivus forms the central skull base between the dorsum sellae and the
foramen magnum. Although bony variations of the inferior surface of the clivus are well …
foramen magnum. Although bony variations of the inferior surface of the clivus are well …