Advancement in 3-D Medical Images Using Artificial Intelligence Techniques

This paper presents a comprehensive review of recent advancements in 3D medical imaging utilizing artificial intelligence (AI) techniques. The review encompasses various studies focused on different applications and types of 3D medical imaging modalities. The literature review discusses works such as deep learning models for brain tumor segmentation in MRI data, active learning strategies for COVID-19 infection segmentation in CT scans, multi-class point cloud completion networks for cardiac anatomy reconstruction from cine MRI images and deep CNN for total brain volume estimation from 3D ultrasound images, among others. Additionally, the paper includes a detailed analysis of techniques and outcomes, summarized in a table, providing insights into the efficacy of different AI approaches in medical imaging tasks. Moreover, the applications and types of 3D medical imaging modalities discussed in the reviewed studies span across various domains including oncology and surgery.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/tensymp61132.2024.10752259
Citations
1
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.18
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article

Advancement in 3-D Medical Images Using Artificial Intelligence Techniques

Vanshika Jain, Yogesh Kumar, Khushi Tekwani
1 citations
Medical Imaging and Analysis
0.18
article

Advancement in 3-D Medical Images Using Artificial Intelligence Techniques

Vanshika Jain, Yogesh Kumar, Khushi Tekwani
article en
1 citations

Abstract

This paper presents a comprehensive review of recent advancements in 3D medical imaging utilizing artificial intelligence (AI) techniques. The review encompasses various studies focused on different applications and types of 3D medical imaging modalities. The literature review discusses works such as deep learning models for brain tumor segmentation in MRI data, active learning strategies for COVID-19 infection segmentation in CT scans, multi-class point cloud completion networks for cardiac anatomy reconstruction from cine MRI images and deep CNN for total brain volume estimation from 3D ultrasound images, among others. Additionally, the paper includes a detailed analysis of techniques and outcomes, summarized in a table, providing insights into the efficacy of different AI approaches in medical imaging tasks. Moreover, the applications and types of 3D medical imaging modalities discussed in the reviewed studies span across various domains including oncology and surgery.

Pandit Deendayal Energy University (IN)
Openalex Percentile: Top 51%
Medical Imaging and Analysis
0.18
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