• No results found

Brain Tumor Detection and Classification with Feed Forward Back Propagation Network

N/A
N/A
Protected

Academic year: 2020

Share "Brain Tumor Detection and Classification with Feed Forward Back Propagation Network"

Copied!
6
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig 2: Results of abnormal brain image as input
Table I : Confusion Matrix

References

Related documents

The effects of concentration and composition upon the rheo- logical properties of concentrated monomodal, bimodal, and trimodal suspensions of neutrally buoyant

From the drying curves, the drying properties like moisture content, moisture ratio, drying rate, shrinkage and rehydration ratio can be compared between direct and

In addition, local gene delivery of IL-22 vector significantly enhanced STAT3 activation in the CECs of proximal colon (the injected site) but not distal colon (noninjected site)

REVIEW Open Access Genomes of the T4 related bacteriophages as windows on microbial genome evolution Vasiliy M Petrov1, Swarnamala Ratnayaka1, James M Nolan2, Eric S Miller3, Jim D

Peer support during pregnancy and early parenthood a qualitative study of models and perceptions RESEARCH ARTICLE Open Access Peer support during pregnancy and early parenthood

Earth Planets Space, 58, 217?221, 2006 Dominant periods of the 2004 Sumatra tsunami and the estimated source size Kuniaki Abe Niigata Junior College, Nippon Dental University, Hamauracho 1

mutant animals in anoxia is not ROS production by reoxygenation, first, because nsy-1 mutant animals un- der oxidative stress showed not higher but rather lower survival rate

Result of this study showed as a universal predictor artificial neural network (ANN) gives more accurate prediction result which has 89% accuracy than other