Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 25 for “"digital pathology"”.
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Circular Probabilistic Based Color Processing: Applications in Digital Pathology Image Analysis
… As the only definitive diagnosis for cancer, pathology confronts more challenges with the severe social issue of aging population. Past decade has witnessed the advent of whole-slide imaging, which fosters the research of digital pathology image understanding and automatic cancer diagnosis to …
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Architecting Innovation in Healthcare: A Case Study Review in Digital Pathology
… This thesis explores the implementation of digital pathology within the Mayo Clinic, focusing on its potential to enhance diagnostic accuracy, increase efficiency, enable remote collaboration, and ultimately improve patient care. By leveraging the Architecting Innovative Enterprise Strategy …
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Development of a robotic biopsy system compatible with label-free digital pathology and methods for needle-tissue classification
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-03-01 without embargo terms
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Wide-field Polarimetric Second Harmonic Generation Microscopy for Histology Imaging
… hematoxylin and eosin (H&E) stained tissue histopathology, which is used as a gold standard for cancer diagnostics. Large area imaging is required for practical applications of nonlinear microscopy in whole-slide digital pathology. Nonlinear optical histopathology encompasses multiscale imaging …
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Investigation of KimiaNet's and DenseNet's deep features in lung cancer subtypes
… (DNN) have extended applications in the _eld of digital pathology. One of which is to act as feature extractors for content-based image retrieval (CBIR) systems. Therefore, it is necessary to investigate how these deep features work and attribute these features to histologic patterns. This study …
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An Assessment of Universal Tumour Associated Antigens in Primary Liver Neoplasms
… expression in patients with liver cancer using a digital pathology platform. Telomerase and Survivin, the two targets of these endeavours, have previously been shown to be expressed in numerous cancer types, earning the title ‘universal tumour associated antigen.’ The techniques used in this …
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Interpretable Tumor Localization in Bladder Cancer Histopathology Using Deep Multiple Instance Learning
Deep learning has emerged in cancer histopathology as a tool for predicting clinical and molecular properties of a patient’s disease, thereby connecting slide with function. This concept is especially relevant to bladder cancer, where molecular and histopathologic heterogeneity is known to impact …
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Tumour Localisation in Histopathology Images
… clinical studies. Whilst recent advancements in digital pathology have enabled IHC measurements to be performed automatically, the acquisition of manual annotations of tumours in scanned digital slides is still a limiting factor. In this thesis, an automated solution to tumour localisation is …
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Computational imaging and analysis in breast cancer
… the accuracy, robustness and cost-efficiency of digital pathology. In this thesis, we develop and test three novel computational imaging algorithms including, to the best of our knowledge, the first system for lensless computational imaging through deep learning. We then test our hypothesis by …
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Profiling neuroinflammation in amyotrophic lateral sclerosis
… METHODS: High-throughput immunohistochemistry, digital pathology analysis, and random forest modelling were employed to characterise glial activation and RNA-binding protein localisation and aggregation in motor and extramotor brain regions of deeply clinically phenotyped C9-ALS-FTSD post-mortem …
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Investigating the role of protein aggregation in neurodegenerative diseases using super-resolution imaging
… in the brain. Although identified as a leading pathology, the role of protein aggregates in the pathogenesis remains elusive. They are a highly heterogeneous population spanning from the fibrous forms visible in histology to the nanoscopic oligomers, both characterised by various structural …
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Tumour Associated Neutrophils as a Potential Biomarker for Anti-PD-1 Immunotherapy in Non-Small Cell Lung Carcinoma: An Automated Approach
… using manual scoring criteria. Improvements in digital pathology provide an opportunity to automate this process. Hypothesis: LUAD patients that are TANhigh harbour a consistent, therapeutically targetable molecular signature that sets them apart from TANlow/(-) tumours. This phenotype can be …
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Deep learning on whole-slide images for early detection and risk prediction of oesophageal cancer
… library for efficiently handling computational pathology tasks. Oesophageal adenocarcinoma is usually diagnosed late, leading to a five-year mortality rate of only 13%. The identification of its precursor, Barrett’s oesophagus (BE), is thus a crucial early detection goal. Identifying the cancer …
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The clonal architecture and tumour microenvironment of breast cancers are shaped by neoadjuvant chemotherapy
… by deconvoluting bulk RNAseq data and performing digital pathology orthogonal validation. Clonal and microenvironment dynamic changes induced by/associated with chemotherapy were then modelled. Two types of genomic responses were identified, one in which the clonal composition was stable …
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Digital chemical pathology
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Triage-driven diagnosis for early detection of oesophageal cancer
… trials, analysing a combined total of 4,662 pathology slides from 2,331 patients. The approach exploits screening patterns of expert gastrointestinal pathologists and established decision pathways to define eight triage classes of varying priority for manual expert review. By substitution of …
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Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer with Gene Expression and Computational Pathology
… based on gene expression and computational pathology. Firstly, I attempted to develop a clinically practical approach for classifying breast tumours using RNA from routine formalin fixed paraffin embedded (FFPE) histopathological samples. Breast cancers can be classified into distinct …
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Digitally quantified neuropathological correlates of structural and functional imaging biomarkers in progressive supranuclear palsy
… relationship between imaging changes and neuropathology requires more thorough validation and beyond Alzheimer’s disease. In tauopathies, tau is the key protein where specific pattern of tau aggregation and distribution can distinguish between different tauopathies. With this, progressive …
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Label-free breast histopathology using quantitative phase imaging
… In spite of this assessment, the standard histopathology of breast cancer still relies on manual microscopic examination of stained tissue. Being qualitative and manual in nature, this standard diagnostic procedure can suffer from inter-observer variation and low-throughput. In addition, stain …
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Immune Infiltrates in Breast Cancer: Clinical Significance from Histopathology to Prognosis
… and the other based in Halo, a proprietary digital pathology platform widely used in the clinic. Both models compare favourably with pathologist-generated overall CD8+ TIL counts, with Cohen’s weighted Kappa scores of 0.8 and 0.81 for the custom and Halo algorithms, respectively. However, …
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