Zobrazeno 1 - 10
of 121
pro vyhledávání: '"brain tumour segmentation"'
Autor:
Maria Nancy A, K. Sathyarajasekaran
Publikováno v:
Automatika, Vol 65, Iss 4, Pp 1350-1363 (2024)
Brain Tumor Segmentation (BTS) and classification are important and growing research fields. Magnetic resonance imaging (MRI) is commonly used in the diagnosis of brain tumours owing to its low radiation exposure and high image quality. One of the cu
Externí odkaz:
https://doaj.org/article/d529fe9dc5004b6ebd1d77fe0068fe89
Autor:
Peter Jagd Sørensen, Claes Nøhr Ladefoged, Vibeke Andrée Larsen, Flemming Littrup Andersen, Michael Bachmann Nielsen, Hans Skovgaard Poulsen, Jonathan Frederik Carlsen, Adam Espe Hansen
Publikováno v:
Tomography, Vol 10, Iss 9, Pp 1397-1410 (2024)
The Brain Tumor Segmentation (BraTS) Challenge has been a main driver of the development of deep learning (DL) algorithms and provides by far the largest publicly available expert-annotated brain tumour dataset but contains solely preoperative examin
Externí odkaz:
https://doaj.org/article/82109056b1184a5a93cf9a7cbd10d27d
Autor:
Sunita Roy, Rikan Saha, Suvarthi Sarkar, Ranjan Mehera, Rajat Kumar Pal, Samir Kumar Bandyopadhyay
Publikováno v:
IEEE Access, Vol 11, Pp 28658-28679 (2023)
Image segmentation is an application area of computer vision and digital image processing that partitions a digital image into multiple image regions or segments. This process involves extracting a set of contours from the input digital image so that
Externí odkaz:
https://doaj.org/article/4a164d56de18484d840854905d88eb78
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Zeineldin Ramy A., Weimann Pauline, Karar Mohamed E., Mathis-Ullrich Franziska, Burgert Oliver
Publikováno v:
Current Directions in Biomedical Engineering, Vol 7, Iss 1, Pp 30-34 (2021)
Purpose Computerized medical imaging processing assists neurosurgeons to localize tumours precisely. It plays a key role in recent image-guided neurosurgery. Hence, we developed a new open-source toolkit, namely Slicer-DeepSeg, for efficient and auto
Externí odkaz:
https://doaj.org/article/7dd3fbc7af69485992daca05c906c9eb
Autor:
Michael Mahesh K, Arokia Renjit J
Publikováno v:
IET Image Processing, Vol 14, Iss 11, Pp 2541-2552 (2020)
Brain tumour segmentation is the process of separating the tumour from normal brain tissues. A glioma is a kind of tumour, which fires up in the glial cells of the spine or the brain. This study introduces a technique for classifying the severity lev
Externí odkaz:
https://doaj.org/article/0e8e297c2f284197826627712b909ad5
Evaluation of the HD-GLIO Deep Learning Algorithm for Brain Tumour Segmentation on Postoperative MRI
Autor:
Peter Jagd Sørensen, Jonathan Frederik Carlsen, Vibeke Andrée Larsen, Flemming Littrup Andersen, Claes Nøhr Ladefoged, Michael Bachmann Nielsen, Hans Skovgaard Poulsen, Adam Espe Hansen
Publikováno v:
Diagnostics, Vol 13, Iss 3, p 363 (2023)
In the context of brain tumour response assessment, deep learning-based three-dimensional (3D) tumour segmentation has shown potential to enter the routine radiological workflow. The purpose of the present study was to perform an external evaluation
Externí odkaz:
https://doaj.org/article/928982add86448a38e3ec258721352eb
Publikováno v:
Journal of Intelligent Systems, Vol 28, Iss 2, Pp 291-306 (2019)
Manual detection and analysis of brain tumours is an exhaustive and time-consuming process. Further, it is subject to intra-observer and inter-observer variabilities. Automated brain tumour segmentation and analysis has thus gained much attention in
Externí odkaz:
https://doaj.org/article/4a5e3ec784554688a1a0632e5f5817a6
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.