Automatic threshold selection algorithm to distinguish a tissue chromophore from the background in photoacoustic imaging-Reference-Cited by-同舟云学术

Automatic threshold selection algorithm to distinguish a tissue chromophore from the background in photoacoustic imaging

Published:2021-06-04 Issue:7 Volume:12 Page:3836
ISSN:2156-7085
Container-title:Biomedical Optics Express
language:en
Short-container-title:Biomed. Opt. Express

Author:

Khodaverdi Azin,Erlöv Tobias,Hult Jenny^ORCID,Reistad Nina^ORCID,Pekar-Lukacs Agnes,Albinsson John^ORCID,Merdasa Aboma^ORCID,Sheikh Rafi^ORCID,Malmsjö Malin,Cinthio Magnus^ORCID

Funder

Vetenskapsrådet

Lunds Tekniska Högskola, Lunds universitet

IngaBritt och Arne Lundbergs Forskningsstiftelse

Stiftelsen för Synskadade i f.d. Malmöhus län

Stiftelsen Kronprinsessan Margaretas Arbetsnämnd för Synskadade

Lund University Grant for Research Infrastructure

Skåne County Council's Research and Development Foundation

Skånes universitetssjukhus

Swedish Government Grant for Clinical Research

Knut och Alice Wallenbergs Stiftelse

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics,Biotechnology

Reference40 articles.

1. Biomedical photoacoustic imaging

2. Photoacoustic imaging in biomedicine

3. Molecular Imaging by Means of Multispectral Optoacoustic Tomography (MSOT)

4. Photoacoustic tomography and fluorescence molecular tomography: A comparative study based on indocyanine green

5. Photoacoustics for molecular imaging and therapy

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