Nuclei-Location Based Point Set Registration of Multi-stained Whole Slide Images

A Jeyasangar, A Alsalemi, SEA Raza - Annual Conference on Medical …, 2024 - Springer
Abstract Whole Slide Images (WSIs) provide exceptional detail for studying tissue
architecture at the cell level. To study tumour microenvironment (TME) with the context of …

Scalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Images

M Ounissi, I Sarbout, JP Hugot… - arXiv preprint arXiv …, 2024 - arxiv.org
Chemical staining methods are dependable but require extensive time, expensive
chemicals, and raise environmental concerns. These challenges highlight the need for …

Eco-evolutionary Guided Pathomic Analysis to Predict DCIS Upstaging

Y Xiao, M Elmasry, J Bai, A Chen, Y Chen, B Jackson… - bioRxiv, 2024 - biorxiv.org
Cancers evolve in a dynamic ecosystem. Thus, characterizing cancer's ecological dynamics
is crucial to understanding cancer evolution and can lead to discovering novel biomarkers to …

COEXIST: Coordinated single-cell integration of serial multiplexed tissue images

RT Heussner, CF Watson, CZ Eddy, K Wang… - bioRxiv, 2024 - biorxiv.org
Multiplexed tissue imaging (MTI) and other spatial profiling technologies commonly utilize
serial tissue sectioning to comprehensively profile samples by imaging each section with …

Redefining phenotypic intratumor heterogeneity of pancreatic ductal adenocarcinoma: a bottom-up approach

M Hilmi, F Delecourt, J Raffenne, T Bourega, N Dusetti… - bioRxiv, 2023 - biorxiv.org
Background Pancreatic ductal adenocarcinoma (PDAC) tumor inter-patient heterogeneity
has been well described with two major prognostic subtypes (classical and basal-like). An …

Stromal Tissue Segmentation in Multi-Stained Serial Histopathological Sections of Pancreatic Tumors

D Montalvo-García, JE Ortuño… - MICCAI Workshop on …, 2024 - openreview.net
In this work we propose and compare different deep learning algorithms for the
segmentation of stromal regions in pancreatic histopathological image using three …