Results 131 to 140 of about 65,125 (273)

Artificial Intelligence–Based Approaches for Brain Tumor Segmentation in MRI: A Review

open access: yesNMR in Biomedicine, Volume 38, Issue 11, November 2025.
Manually segmenting brain tumors in magnetic resonance imaging is a time‐consuming task that requires years of professional experience and clinical expertise. We proposed a study, which contains a comprehensive review of the brain tumor segmentation techniques. It selects the effective approaches to better understand the AI applications for brain tumor
Khadija Bibi   +9 more
wiley   +1 more source

Automated detection system of metro tunnel lining crack using dynamic snake convolution

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 26, Page 4521-4542, 7 November 2025.
Abstract Inspecting defects in tunnel linings is a crucial part of tunnel maintenance work. Traditional tunnel inspection methods are generally inefficient, making it difficult to complete intensive inspection tasks and provide detailed characteristic data of cracks within the limited maintenance time. In this research, a deep learning–driven automatic
Zhutian Pan   +7 more
wiley   +1 more source

Evaluation of a prostate SBRT planning workflow using auto‐segmentation and knowledge‐based planning

open access: yesJournal of Applied Clinical Medical Physics, Volume 26, Issue 10, October 2025.
Abstract Purpose This study investigates a prostate stereotactic body radiotherapy (SBRT) planning workflow integrating commercial artificial intelligence (AI) contouring and knowledge‐based planning (KBP). The purpose is to determine whether AI‐generated contours are comparable to physician‐delineated contours in achieving dosimetric goals. Methods In
Trisha Jones   +7 more
wiley   +1 more source

Anatomy‐Guided, Modality‐Agnostic Segmentation of Neuroimaging Abnormalities

open access: yesHuman Brain Mapping, Volume 46, Issue 14, 01 October 2025.
Region ModalMix is a data augmentation strategy that leverages brain parcellations to improve MRI‐based tumor segmentation under missing modality conditions. By mixing anatomical regions across available modalities during training, our framework enhances model robustness, supporting more reliable decision making with incomplete multimodal neuroimaging ...
Diala Lteif   +4 more
wiley   +1 more source

On typical Markov operators acting on Borel measures

open access: yesAbstract and Applied Analysis, 2005
It is proved that, in the sense of Baire category, almost every Markov operator acting on Borel measures is asymptotically stable and the Hausdorff dimension of its invariant measure is equal to zero.
Tomasz Szarek
doaj   +1 more source

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