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The Morphology of Brain Neurons: The Box-Counting Method in the Quantitative Analysis of 2D Images
This chapter begins by showing the difference between fractal geometry and fractal analysis. The text shows the difference between mathematical and...
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Enhancing mitosis quantification and detection in meningiomas with computational digital pathology
Mitosis is a critical criterion for meningioma grading. However, pathologists’ assessment of mitoses is subject to significant inter-observer...
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Accurate digital quantification of tau pathology in progressive supranuclear palsy
The development of novel treatments for Progressive Supranuclear Palsy (PSP) is hindered by a knowledge gap of the impact of neurodegenerative...
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Digital image analysis and machine learning-assisted prediction of neoadjuvant chemotherapy response in triple-negative breast cancer
BackgroundPathological complete response (pCR) is associated with favorable prognosis in patients with triple-negative breast cancer (TNBC). However,...
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Spatial Analysis of Neural Cell Proteomic Profiles Following Ischemic Stroke in Mice Using High-Plex Digital Spatial Profiling
Stroke is ranked as the fifth leading cause of death and the leading cause of adult disability in the USA. The progression of neuronal damage after...
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CArdiac and REspiratory adaptive Computed Tomography (CARE-CT): a proof-of-concept digital phantom study
Current respiratory 4DCT imaging for high-dose rate thoracic radiotherapy treatments are negatively affected by the complex interaction of cardiac...
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Human vs Machine in Bioengineering Allergology: A Comparative Analysis of Conventional vs Innovative Methods for Quantifying Allergological Skin Prick Tests
PurposeImmediate hypersensitivity reactions, commonly triggered by allergens, play a crucial role in clinical allergies. The skin prick test is the...
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Use of a digital tool to support the diagnostic process in memory clinics–a usability study
BackgroundBoth memory clinic professionals and patients see value in digital tools, yet these hardly find their way to clinical practice. We explored...
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Hardware deployment of deep learning model for classification of breast carcinoma from digital mammogram images
Cancer is an illness that instils fear in many individuals throughout the world due to its lethal nature. However, in most situations, cancer may be...
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Immuno-digital invasive cleavage assay for analyzing Alzheimer’s amyloid ß-bound extracellular vesicles
BackgroundThe protracted preclinical stage of Alzheimer’s disease (AD) provides the opportunity for early intervention to prevent the disease;...
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Quantification of Tumor and Angiogenesis-Related Markers in Ovarian Cancer Models by a Digital Pathology Approach
Digital pathology has the potential to quantify tumor markers accurately and reproducibly with various cellular and subcellular localizations in...
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Deep learning based digital pathology for predicting treatment response to first-line PD-1 blockade in advanced gastric cancer
BackgroundAdvanced unresectable gastric cancer (GC) patients were previously treated with chemotherapy alone as the first-line therapy. However, with...
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Interlaboratory evaluation of a digital holographic microscopy–based assay for label-free in vitro cytotoxicity testing of polymeric nanocarriers
State-of-the-art in vitro test systems for nanomaterial toxicity assessment are based on dyes and several staining steps which can be affected by...
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Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy
ObjectiveDigital microscopy is used to monitor particulates such as protein aggregates within biopharmaceutical products. The images that result...
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Box-Counting Fractal Analysis: A Primer for the Clinician
This chapter lays out the elementary principles of fractal geometry underpinning much of the rest of this book. It assumes a minimal mathematical...
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Applications of Biotechnology in Pharmaceutical Product Analysis
The pharmaceutical sector is critical to supplying safe and effective pharmaceuticals to people all around the world. Pharmaceutical product...
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Radiographic Response Assessment Strategies for Early-Phase Brain Trials in Complex Tumor Types and Drug Combinations: from Digital “Flipbooks” to Control Systems Theory
There is an urgent need for drug development in brain tumors. While current radiographic response assessment provides instructions for identifying...
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Detection and quantitative analysis of tumor-associated tertiary lymphoid structures
Tumor-associated tertiary lymphoid structures (TLSs) are ectopic lymphoid formations within tumor tissue, with mainly B and T cell populations...
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Computational Fractal-Based Analysis of Brain Tumor Microvascular Networks
Brain parenchyma microvasculature is set in disarray in the presence of tumors, and malignant brain tumors are among the most vascularized neoplasms...
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Morphometric Image Analysis and its Applications in Biomedicine Using Different Microscopy Modes
In biomedicine, morphometric image analysis is defined as the merging of geometry and histology. Morphometry refers to a quantitative analysis of the...