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Spectroscopy and Machine Learning Based Rapid Point-of-Care Assessment of Core Needle Cancer Biopsies

https://doi.org/10.1101/745158
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Diagnostic value and accuracy of imprint cytology evaluation during image‐guided core needle biopsies: Review of our experience at a large academic center
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Design and clinical validation of a point-of-care device for the diagnosis of lymphoma via contrast-enhanced microholography and machine learning
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Feasibility of confocal fluorescence microscopy for real-time evaluation of neoplasia in fresh human breast tissue
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Point-of-care and point-of-procedure optical imaging technologies for primary care and global health
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High-Resolution Rapid Diagnostic Imaging of Whole Prostate Biopsies Using Video-Rate Fluorescence Structured Illumination Microscopy
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Real-time In Vivo Tissue Characterization with Diffuse Reflectance Spectroscopy during Transthoracic Lung Biopsy: A Clinical Feasibility Study
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Micro-anatomical quantitative optical imaging: toward automated assessment of breast tissues
inferredcites →https://doi.org/10.1309/ajcpmy8ui7wsfsyyopenalex-snapshot
Adequacy of Core Needle Biopsy Specimens and Fine-Needle Aspirates for Molecular Testing of Lung Adenocarcinomas
inferredcites →https://doi.org/10.1309/ajcpudfraljy32xmopenalex-snapshot
Cytology Workforce Study
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Quantitative Segmentation of Fluorescence Microscopy Images of Heterogeneous Tissue: Application to the Detection of Residual Disease in Tumor Margins
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The promise and challenges of deep learning models for automated histopathologic classification and mutation prediction in lung cancer
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Translational Optical Imaging
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Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue
inferredcites →https://doi.org/10.5858/arpa.2014-0392-oaopenalex-snapshot
Depletion of Core Needle Biopsy Cellularity and DNA Content as a Result of Vigorous Touch Preparations
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