2,144 Result(s)
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German
Image Processing and Computer Vision
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Chapter
Conference Paper
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Chapter and Conference Paper
Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry
The volume-corrected mitotic index (M/V-Index) has demonstrated prognostic value in invasive breast carcinomas. However, despite its prognostic significance, it is not established as the standard method for as...
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Chapter and Conference Paper
Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning
Deep multiple instance learning is a popular method for classifying whole slide images, but it remains unclear how robust such models are against scanner-induced domain shifts. In this work, we studied this pr...
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Chapter and Conference Paper
Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke
Swift diagnosis and treatment play a decisive role in the clinical outcome of patients with acute ischemic stroke (AIS), and computer-aided diagnosis (CAD) systems can accelerate the underlying diagnostic proc...
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Chapter and Conference Paper
Multi-organ Segmentation in CT from Partially Annotated Datasets using Disentangled Learning
While deep learning models are known to be able to solve the task of multi-organ segmentation, the scarcity of fully annotated multi-organ datasets poses a significant obstacle during training. The 3D volume a...
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Chapter and Conference Paper
Neural Network-based Sinogram Upsampling in Real-measured CT Reconstruction
Computed tomography (CT) is one of the most popular non-invasive medical imaging modalities. A major downside of medical CT is the exposure of the patient to high-energy X-rays during image acquisition. One wa...
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Chapter and Conference Paper
Towards Unified Multi-modal Dataset Creation for Deep Learning Utilizing Structured Reports
The unification of electronic health records promises interoperability of medical data. Divergent data storage options, inconsistent naming schemes, varied annotation procedures, and disparities in label quali...
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Chapter and Conference Paper
Computational Ontology and Visualization Framework for the Visual Comparison of Brain Atrophy Profiles
Alzheimer’s disease (AD) accounts for more than two-thirds of all dementia cases. Existing MRI volumetry tools summarize pathology found within brain MRI scans. However, they often lack methods for aggregating...
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Chapter and Conference Paper
Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation
The annotation of gigapixel-sized whole slide images (WSI) in digital pathology can be time-intensive, especially when generating annotations for training deep segmentation models. Instead of requesting annota...
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Chapter and Conference Paper
Smoke Classification in Laparoscopic Cholecystectomy Videos Incorporating Spatio-temporal Information
Heavy smoke development represents an important challenge for operating physicians during laparoscopic procedures and can potentially affect the success of an intervention due to reduced visibility and orienta...
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Chapter and Conference Paper
Deep Image Prior for Spatio-temporal Fluorescence Microscopy Images DECO-DIP
Image deconvolution and denoising is a common postprocessing step to improve the quality of biomedical fluorescence microscopy images. In recent years, this task has been increasingly tackled with the help of ...
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Chapter and Conference Paper
Abstract: Interpretable Medical Image Classification Using Prototype Learning and Privileged Information
Interpretability is often an essential requirement in medical imaging. Advanced deep learning methods are required to address this need for explainability and high performance. In this work, we investigate whe...
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Chapter and Conference Paper
Abstract: Metal-conscious Embedding for CBCT Projection Inpainting
The existence of metallic implants in projection images for cone-beam computed tomography (CBCT) introduces undesired artifacts which degrade the quality of reconstructed images. In order to reduce metal artif...
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Chapter and Conference Paper
Attention-guided Erasing
The assessment of breast density is crucial in the context of breast cancer screening, especially in populations with a higher percentage of dense breast tissues. This study introduces a novel data augmentatio...
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Chapter and Conference Paper
Abstract: Object Detection for Breast Diffusion-weighted Imaging
Diffusion-weighted imaging (DWI) is a rapidly emerging unenhanced MRI technique in oncologic breast imaging. This IRB approved study included n=818 patients (with n=618 malignant lesions in n=268 patients). Al...
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Chapter and Conference Paper
Privacy-enhancing Image Sampling for the Synthesis of High-quality Anonymous Chest Radiographs
The development of well-performing deep learning-based algorithms for thoracic abnormality detection and classification relies on access to largescale chest X-ray datasets. However, the presence of patient-spe...
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Chapter and Conference Paper
Abstract: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
Accurate diagnosis of disease often depends on the exhaustive examination of whole slide images (WSI) at microscopic resolution. Efficient handling of these data-intensive images requires lossy compression tec...
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Chapter and Conference Paper
Improving Segmentation Models for AR-guided Liver Surgery using Synthetic Images
AR-guided open liver surgery is a field of intense research. However, due to the lack ofRGB-D videos of the surgery scene, there are not any solutions for automatic real-time tracking and registration of the v...
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Chapter and Conference Paper
Abstract: Metal Inpainting in CBCT Projections using Score-based Generative Model
During orthopaedic surgery, the insertion of metallic implants or screws is often performed under mobile C-arm systems. However, due to the high attenuation of metals, severe metal artifacts occur in 3D recons...
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Chapter and Conference Paper
3D Deep Learning-based Boundary Regression of an Age-related Retinal Biomarker in High Resolution OCT
Vision is essential for quality of life, but is threatened by visionimpairing diseases like age-related macular degeneration (AMD). A recently proposed biomarker potentially to distinguish normal aging from AM...
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Chapter and Conference Paper
Displacement Representation for Conditional Point Cloud Registration
In this work, we create a point cloud-based framework based on Free Point Transformers (FPTs) for 2D/3D registration of untracked ultrasound (US) sweeps. Applications include outpatient follow-up assessments a...
