arXiv Open Access 2021

Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey

S Niyas S J Pawan M Anand Kumar Jeny Rajan

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Abstrak

Computer-aided medical image analysis plays a significant role in assisting medical practitioners for expert clinical diagnosis and deciding the optimal treatment plan. At present, convolutional neural networks (CNN) are the preferred choice for medical image analysis. In addition, with the rapid advancements in three-dimensional (3D) imaging systems and the availability of excellent hardware and software support to process large volumes of data, 3D deep learning methods are gaining popularity in medical image analysis. Here, we present an extensive review of the recently evolved 3D deep learning methods in medical image segmentation. Furthermore, the research gaps and future directions in 3D medical image segmentation are discussed.

Topik & Kata Kunci

eess.IV cs.CV cs.LG

Penulis (4)

S Niyas

S J Pawan

M Anand Kumar

Jeny Rajan

Format Sitasi

APA MLA BibTeX

Niyas, S., Pawan, S.J., Kumar, M.A., Rajan, J. (2021). Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey. https://arxiv.org/abs/2108.08467

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Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓