Results 81 to 90 of about 4,206 (188)

A Systematic Review on Cell Nucleus Instance Segmentation

IET Image Processing, Volume 19, Issue 1, January/December 2025.
This survey provides a comprehensive overview of cell nucleus instance segmentation, covering both traditional and deep‐learning‐based methods. It highlights the strengths and limitations of these approaches while addressing key challenges such as ethical implications, robustness under varying imaging conditions, computational constraints, and the ...
Yulin Chen, Qian Huang, Meng Geng, Zhijian Wang, Yi Han   +4 more
wiley   +1 more source

A self-supervised framework for cross-modal search in histopathology archives using scale harmonization

Scientific Reports
The exponential growth of data across various medical domains has generated a substantial demand for techniques to analyze multimodal big data. This demand is particularly pronounced in fields such as computational pathology due to the diverse nature of ...
Danial Maleki, Shahryar Rahnamayan, H. R. Tizhoosh   +2 more
doaj   +1 more source

Whole slide image registration for the study of tumor heterogeneity

, 2018
Consecutive thin sections of tissue samples make it possible to study local variation in e.g. protein expression and tumor heterogeneity by staining for a new protein in each section.
AC Ruifrok, D Ameisen, D Spagnolo, H Avron, L Cooper, M Oheim, M Viergever, MN Gurcan, N Trahearn, SV Costes, T Rohlfing, X Moles Lopez, Y Sucaet   +12 more
core   +1 more source

External validation of an artificial intelligence model for Gleason grading of prostate cancer on prostatectomy specimens

BJU International, Volume 135, Issue 1, Page 133-139, January 2025.
Objectives To externally validate the performance of the DeepDx Prostate artificial intelligence (AI) algorithm (Deep Bio Inc., Seoul, South Korea) for Gleason grading on whole‐mount prostate histopathology, considering potential variations observed when applying AI models trained on biopsy samples to radical prostatectomy (RP) specimens due to ...
Bogdana Schmidt, Simon John Christoph Soerensen, Hriday P. Bhambhvani, Richard E. Fan, Indrani Bhattacharya, Moon Hyung Choi, Christian A. Kunder, Chia‐Sui Kao, John Higgins, Mirabela Rusu, Geoffrey A. Sonn   +10 more
wiley   +1 more source

Un monumento in alta definizione: il catalogo digitale della Cappella Sansevero

Archeomatica
The online publication of the first digital catalogue of the Cappella Sansevero marks a turning point in the monument’s scholarly understanding and scientific enhancement: the first complete cataloguing of its heritage, the result of a multi-year ...
Eleonora Ligas, Rosario Terranova
doaj   +1 more source

TissueWand, a rapid histopathology annotation tool

Journal of Pathology Informatics, 2020
Background: Recent advancements in machine learning (ML) bring great possibilities for the development of tools to assist with diagnostic tasks within histopathology.
Martin Lindvall, Alexander Sanner, Fredrik Petré, Karin Lindman, Darren Treanor, Claes Lundström, Jonas Löwgren   +6 more
doaj   +1 more source

Accurate Classification of Pathological Whole‐Slide Images for Out‐of‐Distribution Generalization

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
WSI‐based classification often suffers from out‐of‐distribution (OOD) generalization due to the distribution mismatch between training on mixed patches from multiple WSIs and testing on individual WSIs with varying tissue compositions. This prior shift impairs model generalization and degrades performance.
Kai Sun, Kai Huang, Jiaqi Huang, Maoxu Zhou, Gang Yu, Stefano Cirillo   +5 more
wiley   +1 more source

True Gigapixel RTI

, 2015
A post on the first capture of a Gigapixel RTI ...
openaire   +1 more source

05 gigapixel microscopy using a flatbed scanner

Biomedical Optics Express, 2013
The capability to perform high-resolution, wide field-of-view (FOV) microscopy imaging is highly sought after in biomedical applications. In this paper, we report a wide FOV microscopy system that uses a closed-circuit-television (CCTV) lens for image relay and a flatbed scanner for data acquisition.
Zheng, Guoan, Ou, Xiaoze, Yang, Changhuei   +2 more
openaire   +3 more sources

Multimodal data fusion AI model uncovers tumor microenvironment immunotyping heterogeneity and enhanced risk stratification of breast cancer

MedComm, Volume 5, Issue 12, December 2024.
This study introduces an advanced cohort research on breast cancer prognosis, revealing four distinct immune–metabolic subtypes with notable survival differences. Using cutting‐edge AI techniques, we developed a pathology‐based model integrating a modified ResNet50 network with an attention‐gated mechanism for subtype prediction.
Yunfang Yu, Gengyi Cai, Ruichong Lin, Zehua Wang, Yongjian Chen, Yujie Tan, Zifan He, Zhuo Sun, Wenhao Ouyang, Herui Yao, Kang Zhang   +10 more
wiley   +1 more source