Automated machine learning with interpretation: A systematic review of methodologies and applications in healthcare
Abstract Machine learning (ML) has achieved substantial success in performing healthcare
tasks in which the configuration of every part of the ML pipeline relies heavily on technical …
tasks in which the configuration of every part of the ML pipeline relies heavily on technical …
Research Progress of Artificial Intelligence in the Grading and Classification of Meningiomas
Y Gui, J Zhang - Academic Radiology, 2024 - Elsevier
A meningioma is a common primary central nervous system tumor. The histological features
of meningiomas vary significantly depending on the grade and subtype, leading to …
of meningiomas vary significantly depending on the grade and subtype, leading to …
[HTML][HTML] Automated segmentation of meningioma from contrast-enhanced T1-weighted MRI images in a case series using a marker-controlled watershed …
Introduction and importance Accurate segmentation of meningiomas from contrast-
enhanced T1-weighted (CE T1-w) magnetic resonance imaging (MRI) is crucial for …
enhanced T1-weighted (CE T1-w) magnetic resonance imaging (MRI) is crucial for …
Two-Stage Segmentation and Ensemble Modeling: Kidney Tumor Analysis in CT Images
S Lee, H Won, Y Lee - International Challenge on Kidney and Kidney …, 2023 - Springer
In the realm of kidney cancer, accurate segmentation is pivotal for effective diagnosis and
treatment. Participating in the 2023 KiTS Challenge as a platform, our research introduces a …
treatment. Participating in the 2023 KiTS Challenge as a platform, our research introduces a …
M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography
Accurate segmentation of the aortic vessel tree (AVT) in computed tomography angiography
(CTA) is crucial for diagnosing and monitoring vascular conditions. However, achieving …
(CTA) is crucial for diagnosing and monitoring vascular conditions. However, achieving …
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J Lee¹, JS Yoon - … , Smart Ageing, and Managing Disability: 20th …, 2023 - books.google.com
This study aimed to quantitatively analyze pressure parameters in different high-risk areas
depending on the position. We reviewed the clinical records of trials of 20 healthy adults on …
depending on the position. We reviewed the clinical records of trials of 20 healthy adults on …
DL-Modell zur auto-matischen Segmentierung und Klassifizierung von Meningeomen
Y Jun - thieme-connect.com
Die Mehrheit (80%) der intrakraniellen Meningeome entsprechen der WHO-Klassifikation
Grad 1 und sind gutartig, die aggressiven mit WHO-Grad 2 und 3 rezidivieren und haben …
Grad 1 und sind gutartig, die aggressiven mit WHO-Grad 2 und 3 rezidivieren und haben …