Medical image segmentation by convolutional neural network

The goal of this study will be to analyze outstanding deep learning network structures in the medical image processing field, thereby coming up with proposing a better network model that can improve performance productivity and quality of medical image segmentation challenges. In this study, the Une...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awdur: Trần Song Toàn
Awduron Eraill: Prof. Don-Gey Liu (người hướng dẫn khoa học); Prof. Ching-Hwa Cheng (người hướng dẫn khoa học)
Iaith:eng
Cyhoeddwyd: 逢 甲 大 學 2022
Mynediad Ar-lein:https://opac.tvu.edu.vn/pages/opac/wpid-detailbib-id-39393.html
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
Thư viện lưu trữ: Trung tâm Học liệu – Phát triển Dạy và Học, Trường Đại học Trà Vinh
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Crynodeb:The goal of this study will be to analyze outstanding deep learning network structures in the medical image processing field, thereby coming up with proposing a better network model that can improve performance productivity and quality of medical image segmentation challenges. In this study, the Unet model is used as the backbone architecture. The analysis will focus on the disadvantages of Unet and Unet-based models, thereby proposing methods to overcome the weaknesses and improve the efficiency of the proposed model.