Technical challenges of enterprise imaging: HIMSS-SIIM collaborative white paper

DA Clunie, DK Dennison, D Cram, KR Persons… - Journal of digital …, 2016 - Springer
This white paper explores the technical challenges and solutions for acquiring (capturing)
and managing enterprise images, particularly those involving visible light applications. The …

[HTML][HTML] Content-based histopathology image retrieval using a kernel-based semantic annotation framework

JC Caicedo, FA González, E Romero - Journal of biomedical informatics, 2011 - Elsevier
Large amounts of histology images are captured and archived in pathology departments
due to the ever expanding use of digital microscopy. The ability to manage and access these …

[HTML][HTML] The history of pathology informatics: A global perspective

S Park, AV Parwani, RD Aller, L Banach… - Journal of pathology …, 2013 - Elsevier
Pathology informatics has evolved to varying levels around the world. The history of
pathology informatics in different countries is a tale with many dimensions. At first glance, it …

[PDF][PDF] Virtual microscopy in medical images: A survey

E Romero, F Gómez, M Iregui - … Modern research and educational topics in …, 2007 - Citeseer
A major objective of the present survey is to provide a comprehensive vision of the most
recent methods for the construction of a Virtual Microscopy Viewer (VMV). The Virtual …

Image standards in tissue-based diagnosis (diagnostic surgical pathology)

K Kayser, J Görtler, T Goldmann, E Vollmer… - Diagnostic …, 2008 - Springer
Background Progress in automated image analysis, virtual microscopy, hospital information
systems, and interdisciplinary data exchange require image standards to be applied in …

An experimental study of pathologist's navigation patterns in virtual microscopy

L Roa-Peña, F Gómez, E Romero - Diagnostic pathology, 2010 - Springer
In virtual microscopy, a sequential process of captures of microscopical fields, allows to
construct a virtual slide which is visualized using a specialized software, called the virtual …

A supervised visual model for finding regions of interest in basal cell carcinoma images

R Gutiérrez, F Gómez, L Roa-Peña, E Romero - Diagnostic pathology, 2011 - Springer
This paper introduces a supervised learning method for finding diagnostic regions of interest
in histopathological images. The method is based on the cognitive process of visual …

[HTML][HTML] An adaptable navigation strategy for Virtual Microscopy from mobile platforms

G Corredor, E Romero, M Iregui - Journal of biomedical informatics, 2015 - Elsevier
Abstract Real integration of Virtual Microscopy with the pathologist service workflow requires
the design of adaptable strategies for any hospital service to interact with a set of Whole …

Learning regions of interest from low level maps in virtual microscopy

D Romo, E Romero, F González - Diagnostic pathology, 2011 - Springer
Virtual microscopy can improve the workflow of modern pathology laboratories, a goal
limited by the large size of the virtual slides (VS). Lately, determination of the Regions of …

Training a cell-level classifier for detecting basal-cell carcinoma by combining human visual attention maps with low-level handcrafted features

G Corredor, J Whitney, V Arias… - Journal of Medical …, 2017 - spiedigitallibrary.org
Computational histomorphometric approaches typically use low-level image features for
building machine learning classifiers. However, these approaches usually ignore high-level …