Evidence map›Paper›PMID 41328164›Full record

ArticlePatterns (New York, N.Y.)2025

Computational workflows for natural and biomedical image processing based on hypercomplex algebras.

Nektarios A Valous, Eckhard Hitzer, Dragoş Duşe, Rodrigo Rojas Moraleda, Ferdinand Popp, Meggy Suarez-Carmona, Anna Berthel, Ismini Papageorgiou, Carlo Fremd, Alexander Rölle and 5 more

Abstract read
In one paragraph

Article in Patterns (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Nektarios A ValousApplied Tumor Immunity Clinical Cooperation Unit, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
Eckhard HitzerCollege of Liberal Arts, International Christian University, Osawa 3-10-2, Mitaka 181-8585, Tokyo, Japan.
Dragoş DuşeDepartment of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital (UKHD), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
Rodrigo Rojas MoraledaApplied Tumor Immunity Clinical Cooperation Unit, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
Ferdinand PoppApplied Tumor Immunity Clinical Cooperation Unit, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
Meggy Suarez-CarmonaDepartment of Cancer Immunology and Cancer Immunotherapy, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Anna BerthelDepartment of Cancer Immunology and Cancer Immunotherapy, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Ismini PapageorgiouInstitute of Radiology, Südharz Hospital Nordhausen, Dr.-Robert-Koch-Straße 39, 99734 Nordhausen, Germany.
Carlo FremdMedical Faculty Heidelberg, Department of Medical Oncology, Heidelberg University, Heidelberg University Hospital (UKHD), Im Neuenheimer Feld 672, 69120 Heidelberg, Germany.
Alexander RölleApplied Tumor Immunity Clinical Cooperation Unit, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
Christina C WesthoffInstitute of Pathology, Philipps University of Marburg and University Hospital Giessen and Marburg GmbH (UKGM), Baldingerstrasse, 35033 Marburg, Germany.
Bénédicte LenoirApplied Tumor Immunity Clinical Cooperation Unit, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
Niels HalamaDepartment of Cancer Immunology and Cancer Immunotherapy, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Inka ZörnigApplied Tumor Immunity Clinical Cooperation Unit, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.
Dirk JägerApplied Tumor Immunity Clinical Cooperation Unit, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 460, 69120 Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quaternions, a type of hypercomplex number, can be applied to handling three-dimensional data, i.e., color images. Here, we demonstrate, by leveraging quaternions and the two-dimensional orthogonal planes split framework, image processing workflows for natural and biomedical images, including natural and biomedical image recolorization, natural image decolorization, natural and biomedical image contrast enhancement, and computational restaining and stain separation in histological images. We also demonstrate performance gains in machine learning and deep learning pipelines for histological images. The proposed workflows can regulate color appearance and image contrast, be part of automated processing pipelines, and assist in digital pathology applications. Employing basic arithmetic and matrix operations, this work offers a computationally accessible methodology that showcases versatility and consistency across processing tasks and a range of computer vision and biomedical applications. The proposed non-data-driven methods achieve comparable or better results to those reported in the literature, showcasing the potential of robust theoretical frameworks with practical effectiveness.

Indexed as

2D orthogonal planes splitcolor imagescomputational biomedicinecomputer visionquaternions

Identifiers

PMID41328164
PMCPMC12664988

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.