The natural and engineered 3D microenvironment as a regulatory cue during stem cell fate determination
The concept of using stem cells as self-renewing sources of healthy cells in regenerative
medicine has existed for decades, but most applications have yet to achieve clinical …
medicine has existed for decades, but most applications have yet to achieve clinical …
Multiplex immunofluorescence and the digital image analysis workflow for evaluation of the tumor immune environment in translational research
A robust understanding of the tumor immune environment has important implications for
cancer diagnosis, prognosis, research, and immunotherapy. Traditionally …
cancer diagnosis, prognosis, research, and immunotherapy. Traditionally …
Cgc-net: Cell graph convolutional network for grading of colorectal cancer histology images
Colorectal cancer (CRC) grading is typically carried out by assessing the degree of gland
formation within histology images. To do this, it is important to consider the overall tissue …
formation within histology images. To do this, it is important to consider the overall tissue …
[HTML][HTML] SlideGraph+: Whole slide image level graphs to predict HER2 status in breast cancer
Human epidermal growth factor receptor 2 (HER2) is an important prognostic and predictive
factor which is overexpressed in 15–20% of breast cancer (BCa). The determination of its …
factor which is overexpressed in 15–20% of breast cancer (BCa). The determination of its …
Capturing cellular topology in multi-gigapixel pathology images
In computational pathology, multi-gigapixel whole slide images (WSIs) are typically divided
into small patches because of their extremely large size and memory requirements …
into small patches because of their extremely large size and memory requirements …
Combinational pixel-by-pixel and object-level classifying, segmenting, and agglomerating in performing quantitative image analysis that distinguishes between …
LE Boucheron - US Patent 8,488,863, 2013 - Google Patents
Quantitative object and spatial arrangement-level analysis of tissue are detailed using
expert (pathologist) input to guide the classification process. A two-step method is disclosed …
expert (pathologist) input to guide the classification process. A two-step method is disclosed …
Histopathological image analysis using model-based intermediate representations and color texture: Follicular lymphoma grading
O Sertel, J Kong, UV Catalyurek, G Lozanski… - Journal of Signal …, 2009 - Springer
Follicular lymphoma (FL) is a cancer of lymph system and it is the second most common
lymphoid malignancy in the western world. Currently, the risk stratification of FL relies on …
lymphoid malignancy in the western world. Currently, the risk stratification of FL relies on …
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy
Virulence factors (VFs) enable pathogens to infect their hosts. A wealth of individual, disease-
focused studies has identified a wide variety of VFs, and the growing mass of bacterial …
focused studies has identified a wide variety of VFs, and the growing mass of bacterial …
Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides
Modified Bloom-Richardson (mBR) grading is known to have prognostic value in breast
cancer (BCa), yet its use in clinical practice has been limited by intra-and interobserver …
cancer (BCa), yet its use in clinical practice has been limited by intra-and interobserver …
Color graphs for automated cancer diagnosis and grading
D Altunbay, C Cigir, C Sokmensuer… - IEEE Transactions …, 2009 - ieeexplore.ieee.org
This paper reports a new structural method to mathematically represent and quantify a tissue
for the purpose of automated and objective cancer diagnosis and grading. Unlike the …
for the purpose of automated and objective cancer diagnosis and grading. Unlike the …