Breast cancer is one of the deadly diseases prevailing in women.Earlier detection and diagnosis might prevent the death rate.Effective diagnosis of breast cancer remains a significant challenge,and early diagnosis is ...Breast cancer is one of the deadly diseases prevailing in women.Earlier detection and diagnosis might prevent the death rate.Effective diagnosis of breast cancer remains a significant challenge,and early diagnosis is essential to avoid the most severe manifestations of the disease.The existing systems have computational complexity and classification accuracy problems over various breast cancer databases.In order to overcome the above-mentioned issues,this work introduces an efficient classification and segmentation process.Hence,there is a requirement for developing a fully automatic methodology for screening the cancer regions.This paper develops a fully automated method for breast cancer detection and segmenta-tion utilizing Adaptive Neuro Fuzzy Inference System(ANFIS)classification technique.This proposed technique comprises preprocessing,feature extraction,classifications,and segmentation stages.Here,the wavelet-based enhancement method has been employed as the preprocessing method.The texture and statistical features have been extracted from the enhanced image.Then,the ANFIS classification algorithm is used to classify the mammogram image into normal,benign,and malignant cases.Then,morphological processing is performed on malignant mam-mogram images to segment cancer regions.Performance analysis and comparisons are made with conventional methods.The experimental result proves that the pro-posed ANFIS algorithm provides better classification performance in terms of higher accuracy than the existing algorithms.展开更多
Swarnamukhi is an east flowing river having a total length of 130 km. This is an inde- pendent river which rises at an elevation of 300 m in the eastern Ghats ranges near Pakala village in Chittoor district of Andhra ...Swarnamukhi is an east flowing river having a total length of 130 km. This is an inde- pendent river which rises at an elevation of 300 m in the eastern Ghats ranges near Pakala village in Chittoor district of Andhra Pradesh, India. This study was carried out using multitemporal satellite images of IRS P6 LISS-III and Landsat 80LUTIRS data from 2011 to 2015. The subsequent short term river mouth dynamics, coastal erosion and accretion rates have been calculated for the years between 2011 and 2015. Low river inflow, wind, tides, movement of the waves and littoral currents play a key role in the dynamic activities of erosion and accretion. The erosion rate from 2011 to 2015 was slightly decreased from 0.081 to 0.027 km2. The total net rate of accretion was estimated at 0.438 km2. The study shows during last five years （2011-2015） accretion is more than the erosion. High fluctu- ation of erosion and accretion are characteristics for the short term scale at river mouth.展开更多
文摘Breast cancer is one of the deadly diseases prevailing in women.Earlier detection and diagnosis might prevent the death rate.Effective diagnosis of breast cancer remains a significant challenge,and early diagnosis is essential to avoid the most severe manifestations of the disease.The existing systems have computational complexity and classification accuracy problems over various breast cancer databases.In order to overcome the above-mentioned issues,this work introduces an efficient classification and segmentation process.Hence,there is a requirement for developing a fully automatic methodology for screening the cancer regions.This paper develops a fully automated method for breast cancer detection and segmenta-tion utilizing Adaptive Neuro Fuzzy Inference System(ANFIS)classification technique.This proposed technique comprises preprocessing,feature extraction,classifications,and segmentation stages.Here,the wavelet-based enhancement method has been employed as the preprocessing method.The texture and statistical features have been extracted from the enhanced image.Then,the ANFIS classification algorithm is used to classify the mammogram image into normal,benign,and malignant cases.Then,morphological processing is performed on malignant mam-mogram images to segment cancer regions.Performance analysis and comparisons are made with conventional methods.The experimental result proves that the pro-posed ANFIS algorithm provides better classification performance in terms of higher accuracy than the existing algorithms.
基金the Department of Science and Technology(DST),Government of India,New Delhi for the financial support in the form of DST-INSPIRE Fellowship(No.DST/INSPIRE Fellowship/2012/344-IF120311)
文摘Swarnamukhi is an east flowing river having a total length of 130 km. This is an inde- pendent river which rises at an elevation of 300 m in the eastern Ghats ranges near Pakala village in Chittoor district of Andhra Pradesh, India. This study was carried out using multitemporal satellite images of IRS P6 LISS-III and Landsat 80LUTIRS data from 2011 to 2015. The subsequent short term river mouth dynamics, coastal erosion and accretion rates have been calculated for the years between 2011 and 2015. Low river inflow, wind, tides, movement of the waves and littoral currents play a key role in the dynamic activities of erosion and accretion. The erosion rate from 2011 to 2015 was slightly decreased from 0.081 to 0.027 km2. The total net rate of accretion was estimated at 0.438 km2. The study shows during last five years （2011-2015） accretion is more than the erosion. High fluctu- ation of erosion and accretion are characteristics for the short term scale at river mouth.
