Search Results - "Fully-automatic segmentation algorithms"
-
1
Authors: et al.
Source: Cancers; Mar2023, Vol. 15 Issue 6, p1750, 18p
-
2
Authors: et al.
Source: Journal of Surgery & Medicine (JOSAM); 2022, Vol. 6 Issue 4, p470-475, 6p
-
3
Authors: et al.
Source: Frontiers in Bioengineering & Biotechnology; 2025, p1-15, 15p
-
4
Authors:
Source: AoB Plants; Feb2025, Vol. 17 Issue 2, p1-23, 23p
Subject Terms: OPTICAL radar, LIDAR, OPTICAL scanners, STRUCTURAL models, PARAMETERIZATION
-
5
Authors: et al.
Source: IEEE Transactions on Visualization & Computer Graphics; Dec2014, Vol. 20 Issue 12, p2466-2475, 10p
Subject Terms: PROOFREADING, BRAIN mapping, IMAGE databases, ELECTRON microscopy, IMAGE segmentation, ALGORITHMS
-
6
RRM‐TransUNet: Deep‐Learning Driven Interactive Model for Precise Pancreas Segmentation in CT Images
Authors: et al.
Source: The International Journal of Medical Robotics and Computer Assisted Surgery. 21
Subject Terms: Pancreatic Neoplasms, Deep Learning, Image Processing, Computer-Assisted, Humans, Reproducibility of Results, Pancreatic Diseases, Tomography, X-Ray Computed, Pancreas, Algorithms
Access URL: https://pubmed.ncbi.nlm.nih.gov/40209153
-
7
Authors: et al.
Source: NMR in Biomedicine; Nov2024, Vol. 37 Issue 11, p1-14, 14p
-
8
Authors: et al.
Source: BMC Medical Informatics & Decision Making; 10/4/2024, Vol. 24 Issue 1, p1-24, 24p
Subject Terms: TUMOR classification, BRAIN tumors, DEEP learning, DATA augmentation, TRANSFORMER models
-
9
Authors: et al.
Source: Journal of Digital Imaging; Feb2024, Vol. 37 Issue 1, p374-385, 12p
Subject Terms: UTERINE tumors, POLYPS, HYPERPLASIA, RESEARCH funding, EARLY detection of cancer, CANCER patient medical care, MAGNETIC resonance imaging, RETROSPECTIVE studies, DESCRIPTIVE statistics, ENDOMETRIAL tumors, UTERINE fibroids, DEEP learning, ARTIFICIAL neural networks, UTERINE diseases, COMPUTER-aided diagnosis, DIGITAL image processing, COMPARATIVE studies, WOMEN'S health, SENSITIVITY & specificity (Statistics)
-
10
Authors: et al.
Source: Journal of Medical Systems; 7/11/2023, Vol. 47 Issue 1, p1-33, 33p, 1 Color Photograph, 2 Diagrams, 21 Charts, 2 Graphs
Subject Terms: LIVER disease diagnosis, LIVER radiography, COMPUTERS in medicine, CHRONIC diseases, LIVER, SYSTEMATIC reviews, MACHINE learning, MEDICAL care costs, COST control, FIBROSIS, CIRRHOSIS of the liver, LIVER diseases, WORKFLOW, DIAGNOSTIC imaging, TUMOR classification, DIAGNOSIS, DIGESTIVE organs, COMPUTER-aided diagnosis, SENSITIVITY & specificity (Statistics), ARTIFICIAL neural networks, HEPATOCELLULAR carcinoma
-
11
Authors: et al.
Source: Frontiers in Neurology; 3/30/2023, Vol. 14, p1-8, 8p
-
12
Authors: et al.
Source: Mathematics (2227-7390); Feb2023, Vol. 11 Issue 4, p1027, 26p
-
13
Authors: et al.
Source: Journal of Applied Clinical Medical Physics; Feb2023, Vol. 24 Issue 2, p1-9, 9p
Subject Terms: PROSTATE, STEREOTACTIC radiotherapy, VOLUMETRIC-modulated arc therapy
-
14
Authors: et al.
Source: Medical & Biological Engineering & Computing; Jan2023, Vol. 61 Issue 1, p129-137, 9p, 3 Color Photographs, 3 Diagrams, 3 Charts
Subject Terms: DIAGNOSTIC imaging, DEEP learning, IMAGE segmentation, DATA analysis, GENERALIZATION
-
15
Authors: et al.
Source: Journal of Ambient Intelligence & Humanized Computing; Sep2022, Vol. 13 Issue 9, p4519-4541, 23p
-
16
Authors: et al.
Source: Scientific Reports; 5/24/2022, Vol. 12 Issue 1, p1-13, 13p
-
17
Authors: et al.
Source: Data in Brief, Vol 40, Iss , Pp 107801- (2022)
Subject Terms: Aorta, Vessel tree, CTA, Aortic dissection, Abdominal aortic aneurysm, Segmentations, Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390
File Description: electronic resource
-
18
Authors: et al.
Source: Medical Physics; Apr2021, Vol. 48 Issue 4, p1750-1763, 14p
-
19
Authors: et al.
Source: Journal of Neuroimaging; Jan/Feb2021, Vol. 31 Issue 1, p108-114, 7p
-
20
Authors: et al.
Source: Journal of X-Ray Science & Technology; 2020, Vol. 28 Issue 1, p95-110, 16p, 1 Black and White Photograph, 6 Diagrams, 2 Charts, 6 Graphs
Subject Terms: BRAIN tumors, IMAGE segmentation, DEEP learning, MAGNETIC resonance imaging, CANCER, FEATURE extraction, GLIOMAS
Full Text Finder
Nájsť tento článok vo Web of Science