نتایج جستجو برای: ann classifier

تعداد نتایج: 68429  

Journal: :research in pharmaceutical sciences 0

the main objective in classification of the nmr spectra of cancerous and healthy tissue , with high number of features is the prerequisites of the minimum number of samples. therefore the use of conventional classifier on this type of the data is not recommended. in the current work, different structures of the artificial neural networks (ann) were tried on classification of different cancerous...

Journal: :journal of medical signals and sensors 0
niloofar yousefi moteghaed shiva pirhadi keivan maghooli masoud garshasbi

the improvement of high-through-put gene profiling based microarrays technology has provided monitoring the expression value of thousands of genes simultaneously. detailed examination of changes in expression levels of genes can help physicians to have effi cient diagnosing, classification of tumors and cancer’s types as well as effective treatments. finding genes that can classify the group of...

2011
Bikesh Kumar Singh Anamika Yadav Shailaja Singh Hala Al-Shamlan Ali El-Zaart

Breast cancer is one of the most common cancers among women of the developing countries in the world, and it has also become a major cause of death [1, 2]. Treatment of breast cancer is effective only if it is detected at an early stage. Xray Mammography is the most effective technique used by radiologists in the screening and diagnosis of breast cancer in women but the mammographic images are ...

2013
Amr Rashed Waleed M. Bahgat

Speaker recognition consists of three phases: pre-processing, feature extraction and classification. During the first phase, the computer records the voice pattern of the speaker and analyse it. By the end of the second phase, the main features of the voice pattern are extracted. In the third phase, many classification techniques are exist such as artificial neural network (ANN) , hidden Markov...

2016
Sneha Gajbhiye

This paper proposes an enhanced method for personal authentication based on finger Knuckle Print using Gabor transform. In study shows that finger knuckle print (FKP) technique of a person can be used as a biometric trait in a biometric authentication system due to its uniqueness property. Hand-based person recognition provides a reliable, in low-cost and user-friendly viable solution for a ran...

Journal: :International Journal of Electronics and Electical Engineering 2014

2014
J. Abdul Jaleel Sibi Salim

Skin cancer is the deadliest form of cancers in humans. Skin cancer is commonly known as Melanoma. Melanoma is named after the cell from which it presumably arises, the melanocyte. Skin Cancers are of two typesBenign and Malignant Melanoma. Melanoma can be cured completely if it is detected early. Both benign and malignant melanoma resembles similar in appearance at the initial stages. So it is...

Accurately detection of retinal landmarks, like optic disc, is an important step in the computer aided diagnosis frameworks. This paper presents an efficient method for automatic detection of the optic disc’s center and estimating its boundary. The center and initial diameter of optic disc are estimated by employing an ANN classifier. The ANN classifier employs visual features of vessels and th...

Journal: :Bioinformatics 2006
Emre Karakoç Artem Cherkasov Süleyman Cenk Sahinalp

MOTIVATION Structural similarity search among small molecules is a standard tool used in molecular classification and in-silico drug discovery. The effectiveness of this general approach depends on how well the following problems are addressed. The notion of similarity should be chosen for providing the highest level of discrimination of compounds wrt the bioactivity of interest. The data struc...

1996
Friedrich Leisch Kurt Hornik

We introduce arc-Ih, a new algorithm for improvement of ANN classifier performance, which measures the importance of patterns by aggregated network output errors. On several artificial benchmark problems, this algorithm compares favorably with other resample and combine techniques.

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