跳至主導覽
跳至搜尋
跳過主要內容
國立中央大學 首頁
說明與常見問題
English
中文
首頁
人才檔案
研究單位
研究計畫
研究成果
資料集
榮譽/獲獎
學術活動
新聞/媒體
影響
按專業知識、姓名或所屬機構搜尋
Computational complexity reduction of neural networks of brain tumor image segmentation by introducing fermi–dirac correction functions
Yen Ling Tai, Shin Jhe Huang,
Chien Chang Chen
, Henry Horng Shing Lu
生醫科學與工程學系
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
5
引文 斯高帕斯(Scopus)
總覽
指紋
研究計畫
(1)
指紋
深入研究「Computational complexity reduction of neural networks of brain tumor image segmentation by introducing fermi–dirac correction functions」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Mathematics
Brain Tumor
100%
Image Segmentation
85%
Neural Networks
59%
Computational Complexity
58%
Voxel
36%
Hardware
21%
Preprocessing
20%
Histogram Equalization
18%
Normalization
17%
Learning
16%
Hardware Architecture
15%
Costs
13%
Image Space
12%
High Performance
11%
Drag
11%
Segmentation
10%
Augmentation
10%
Fusion
9%
Lowest
8%
Flexibility
8%
Filter
7%
Physics
7%
kernel
6%
Performance
5%
Engineering & Materials Science
Tumors
64%
Image segmentation
59%
Brain
51%
Computational complexity
51%
Neural networks
38%
Deep learning
16%
Computer hardware
15%
Sols
12%
Costs
10%
Graphics processing unit
8%
Drag
8%
Physics
7%
Fusion reactions
7%
Data storage equipment
5%
Physics & Astronomy
tumors
60%
brain
59%
hardware
25%
preprocessing
22%
learning
19%
costs
13%
histograms
9%
drag
8%
flexibility
8%
performance
7%
platforms
7%
fusion
7%
filters
6%
physics
5%
augmentation
5%