Artificial Intelligence–Based Approaches for Brain Tumor Segmentation in MRI: A Review
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
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
Correction: Biś, A., et al. Hausdorff Dimension and Topological Entropies of a Solenoid. Entropy 2020, 22, 506. [PDF]
Biś A, Namiecińska A.
europepmc +1 more source
The Hausdorff dimension of certain sets of nonnormal numbers. [PDF]
C. M. Colebrook
openalex +1 more source
A generalized Hausdorff dimension for functions and sets [PDF]
Robert Buck
openalex +1 more source
Evaluation of a prostate SBRT planning workflow using auto‐segmentation and knowledge‐based planning
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
Hausdorff Dimension in a Process with Stable Components--An Interesting Counterexample [PDF]
W. J. Hendricks
openalex +1 more source
Anatomy‐Guided, Modality‐Agnostic Segmentation of Neuroimaging Abnormalities
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
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
Hausdorff dimension of some continued-fraction sets [PDF]
Patrick Billingsley, Inge Henningsen
openalex +1 more source

