Search Results - "image analysis"
-
1
-
2
Deep learning based medical image analysis using small datasets
1. April 2025
- Resolving-System, kostenfrei
- Resolving-System, kostenfrei
- Verlag, kostenfrei, Volltext
- Resolving-System, kostenfrei
- Langzeitarchivierung Nationalbibliothek, kostenfrei
Book/Monograph Thesis Online Resource -
3
-
4
-
5
-
6
-
7
-
8
-
9
Image analysis: 68Ga-FAPI-46 PET derived texture parameters improve the differentiation of malignant and benign pulmonary lesions
Subjects: “…Image analysis…”
Article (Journal) Online Resource -
10
More than just life and death: advances in imaging and analysis for 3D-bioprinted tissues
Subjects: “…AI image analysis…”
Article (Journal) Online Resource -
11
-
12
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
Article (Journal) Online Resource -
13
-
14
-
15
-
16
-
17
Unintentional false lumen placement of frozen elephant trunk in aortic dissections: root cause analysis of morphological risk factors
Article (Journal) Online Resource -
18
Machine learning in medical imaging / Part 2
Table of Contents: “…-MoViT: Memorizing Vision Transformers for Medical Image Analysis.-Fact-Checking of AI-Generated Reports.…”
Conference Paper -
19
-
20
Medical image understanding and analysis: 27th annual conference, MIUA 2023, Aberdeen, UK, July 19-21, 2023 : proceedings
Table of Contents: “….- M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks.- BliMSR: Blind degradation modelling for generating high-resolution medical images.- Efficient Semantic Segmentation of Nuclei in Histopathology Images Using Segformer.- Cross-Modality Deep Transfer Learning: Application to Liver Segmentation in CT and MRI.- Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation.- Harnessing the Potential of Deep Learning for Total Shoulder Implant Classification: A Comparative Study.- Deep Facial Phenotyping with Mixup Augmentation.- Context Matters: Cross-domain Cell Detection in Histopathology Images via Contextual Regularization.- TON-ViT: A Neuro-Symbolic AI based on Task Oriented Network with a Vision Transformer.- A new similarity metric for deformable registration of MALDI-MS and MRI images.- Decoding Individual and Shared Experiences of Media Perception using CNN architectures.- Revolutionizing Cancer Diagnosis through Hybrid Self-supervised Deep Learning: EfficientNet with Denoising Autoencoder for Semantic Segmentation of Histopathological Images.- Baseline Models for Action Recognition of Unscripted Casualty Care Dataset.- Web-based AI System for Medical Image Segmentation.- A new approach for identifying skin diseases from dermatological RGB images using source separation.- Pseudo-SPR map Generation from MRI using U-Net Architecture for Ion Beam Therapy Application.- Generalised 3D Medical Image Registration with Learned Shape Encodings.- Retinal Image Screening with Topological Machine Learning.- Neural Network Pruning for Real-time Polyp Segmentation.- A Novel Approach to Breast Cancer Segmentation using U-Net Model with Attention Mechanisms and FedProx Algorithm.- Super Images - A New 2D Perspective on 3D Medical Imaging Analysis.…”
Conference Paper