Results 11 to 20 of about 16,808 (228)

Prognostic significance of tumor microenvironment assessed by machine learning algorithm in surgically resected non‐small cell lung cancer

open access: yesCancer Reports, EarlyView., 2023
Abstract Background A methodology to assess the immune microenvironment (IME) of non‐small cell lung cancer (NSCLC) has not been established, and the prognostic impact of IME factors is not yet clear. Aims This study aimed to assess the IME factors and evaluate their prognostic values. Methods and Results We assessed CD8+ tumor‐infiltrating lymphocyte (
Yukihiro Terada   +16 more
wiley   +1 more source

Pan-cancer classifications of tumor histological images using deep learning [PDF]

open access: yes, 2020
Histopathological images are essential for the diagnosis of cancer type and selection of optimal treatment. However, the current clinical process of manual inspection of images is time consuming and prone to intra- and inter-observer variability. Here we
Caruana, Dennis   +8 more
core   +1 more source

Fast cross-staining alignment of gigapixel whole slide images with application to prostate cancer and breast cancer analysis

open access: yesScientific Reports, 2022
Joint analysis of multiple protein expressions and tissue morphology patterns is important for disease diagnosis, treatment planning, and drug development, requiring cross-staining alignment of multiple immunohistochemical and histopathological slides ...
Ching-Wei Wang   +5 more
doaj   +1 more source

Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancersResearch in context

open access: yesEBioMedicine, 2023
Summary: Background: For patients with early-stage breast cancers, neoadjuvant treatment is recommended for non-luminal tumors instead of luminal tumors.
Yini Huang   +14 more
doaj   +1 more source

Quick Annotator: an open‐source digital pathology based rapid image annotation tool

open access: yesThe Journal of Pathology: Clinical Research, 2021
Image‐based biomarker discovery typically requires accurate segmentation of histologic structures (e.g. cell nuclei, tubules, and epithelial regions) in digital pathology whole slide images (WSIs).
Runtian Miao   +4 more
doaj   +1 more source

The World Summit on the Information Society – Privacy not Found?

open access: yesSCRIPTed: A Journal of Law, Technology & Society, 2006
This article will explore how privacy was dealt with in the United Nations World Summit on the Information Society (WSIS) process. WSIS was the first time that information and communication technology was linked to human rights and development on the ...
Ralf Bendrath and Rikke Frank Jørgensen
doaj   +1 more source

Between reason of state and reason of market: the developments of internet governance in historical perspective [PDF]

open access: yes, 2015
“No sovereignty, no elected government, no authority, no borders”. It was exactly twenty years ago, John Perry Barlow proclaimed his Declaration of the Independence of Cyberspace. And those were his keywords.
Amoretti, Francesco, Santaniello, Mauro
core   +7 more sources

Russian Initiatives in Internet Governance

open access: yesVestnik MGIMO-Universiteta, 2014
The article is devoted to the research of Russian initiatives concerning its participation in international system of Internet governance. In the research, conceptual and theoretic basis for participation of state governments in Internet governance is ...
S. S. Shirin
doaj   +1 more source

Mites i realitat del govern d'Internet

open access: yesIDP, 2006
En la seva intervenció, que transcrivim a continuació, Amadeu Abril va abordar la qüestió del govern d'Internet, desmuntant un per un el que va qualificar de "mites" sobre aquesta matèria.
Amadeu Abril
doaj   +1 more source

Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis [PDF]

open access: yes, 2018
Neural networks promise to bring robust, quantitative analysis to medical fields, but adoption is limited by the technicalities of training these networks.
Ginley, Brandon   +9 more
core   +2 more sources

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