Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP)
Abstract The Human BioMolecular Atlas Program (HuBMAP) aims to create a multi-scale
spatial atlas of the healthy human body at single-cell resolution by applying advanced …
spatial atlas of the healthy human body at single-cell resolution by applying advanced …
[HTML][HTML] Computational pathology: a survey review and the way forward
Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …
developments of computational approaches to analyze and model medical histopathology …
Unleashing the potential of AI for pathology: challenges and recommendations
Computational pathology is currently witnessing a surge in the development of AI
techniques, offering promise for achieving breakthroughs and significantly impacting the …
techniques, offering promise for achieving breakthroughs and significantly impacting the …
Segmentation of human functional tissue units in support of a Human Reference Atlas
Abstract The Human BioMolecular Atlas Program (HuBMAP) aims to compile a Human
Reference Atlas (HRA) for the healthy adult body at the cellular level. Functional tissue units …
Reference Atlas (HRA) for the healthy adult body at the cellular level. Functional tissue units …
Tubular and glomerular size by cortex depth as predictor of progressive CKD after radical nephrectomy for tumor
Background Larger nephrons are prognostic of progressive kidney disease, but whether this
risk differs by nephron segments or by depth in the cortex is unclear. Methods We studied …
risk differs by nephron segments or by depth in the cortex is unclear. Methods We studied …
[HTML][HTML] DEPICTER: Deep representation clustering for histology annotation
Automatic segmentation of histopathology whole-slide images (WSI) usually involves
supervised training of deep learning models with pixel-level labels to classify each pixel of …
supervised training of deep learning models with pixel-level labels to classify each pixel of …
Histopathology language-image representation learning for fine-grained digital pathology cross-modal retrieval
Large-scale digital whole slide image (WSI) datasets analysis have gained significant
attention in computer-aided cancer diagnosis. Content-based histopathological image …
attention in computer-aided cancer diagnosis. Content-based histopathological image …
Investigating quantitative histological characteristics in renal pathology using HistoLens
HistoLens is an open-source graphical user interface developed using MATLAB
AppDesigner for visual and quantitative analysis of histological datasets. HistoLens enables …
AppDesigner for visual and quantitative analysis of histological datasets. HistoLens enables …
Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms
The development of a reference atlas of the healthy human body requires automated image
segmentation of major anatomical structures across multiple organs based on spatial …
segmentation of major anatomical structures across multiple organs based on spatial …
Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project
TM El-Achkar, MT Eadon, M Kretzler… - American Journal of …, 2024 - Elsevier
Chronic kidney disease (CKD) and acute kidney injury (AKI) are heterogeneous syndromes
defined clinically by serial measures of kidney function. Each condition possesses strong …
defined clinically by serial measures of kidney function. Each condition possesses strong …