Evidence map›Paper›PMID 40328837›Full record

ArticleScientific reports2025

V3DQutrit a volumetric medical image segmentation based on 3D qutrit optimized modified tensor ring model.

Pratishtha Verma, Harish Kumar, Dhirendra Kumar Shukla, Sambit Satpathy, Deema Mohammed Alsekait, Osamah Ibrahim Khalaf, Ala Alzoubi, Basma S Alqadi, Diaa Salama AbdElminaam, Arvinda Kushwaha and 1 more

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

11 authors.

Pratishtha VermaCSE Department, NIT Kurukhetra, Kurukhetra, Hariyana, India.
Harish KumarCSE Department, NIT Kurukhetra, Kurukhetra, Hariyana, India.
Dhirendra Kumar ShuklaCSE Department, Galgotias University, Greater Noida, Uttar Pradesh, India.
Sambit SatpathyCSE Department, Galgotias College of Engineering and Technology, Greater Noida, Uttar Pradesh, India.
Deema Mohammed AlsekaitDepartment of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia. Dmalsekait@pnu.edu.sa.
Osamah Ibrahim KhalafDepartment of Solar, Al-Nahrain Research Center for Renewable Energy, Al-Nahrain University, Jadriya, Baghdad, Iraq.
Ala AlzoubiFaculty of Information Technology, Applied Science Private University, Amman, 11931, Jordan.
Basma S AlqadiComputer Science Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia.
Diaa Salama AbdElminaamJadara Research Center, Jadara University, Irbid, 21110, Jordan.
Arvinda KushwahaCSE Department, Galgotias College of Engineering and Technology, Greater Noida, Uttar Pradesh, India.
Jagriti SinghCSE Department, IGDTU, Delhi, India.

Funding

Princess Nourah bint Abdulrahman University PNURSP2025R435
6 · The paper itself

Abstract

This paper introduces 3D-QTRNet, a novel quantum-inspired neural network for volumetric medical image segmentation. Unlike conventional CNNs, which suffer from slow convergence and high complexity, and QINNs, which are limited to grayscale segmentation, our approach leverages qutrit encoding and tensor ring decomposition. These techniques improve segmentation accuracy, optimize memory usage, and accelerate model convergence. The proposed model demonstrates superior performance on the BRATS19 and Spleen datasets, outperforming state-of-the-art CNN and quantum models in terms of Dice similarity and segmentation precision. This work bridges the gap between quantum computing and medical imaging, offering a scalable solution for real-world applications.

Indexed as

Image processingMachine learningMedical imagingOptimizationSmart healthcare system

Identifiers

PMID40328837
PMCPMC12056032

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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.