Mammogram image visual enhancement, mass segmentation and classification
Mammography is the most effective technique for breast cancer screening and detection of
abnormalities. However, early detection of breast cancer is dependent on both the …
abnormalities. However, early detection of breast cancer is dependent on both the …
[图书][B] Neutrosophic precalculus and neutrosophic calculus: neutrosophic applications
F Smarandache - 2015 - books.google.com
Neutrosophic Analysis is a generalization of Set Analysis, which in its turn is a
generalization of Interval Analysis. Neutrosophic Precalculus is referred to indeterminate …
generalization of Interval Analysis. Neutrosophic Precalculus is referred to indeterminate …
A fast and automated segmentation method for detection of masses using folded kernel based fuzzy c-means clustering algorithm
P Das, A Das - Applied Soft Computing, 2019 - Elsevier
Present study proposes a fast, accurate and automated segmentation approach of
mammographic images using kernel based fuzzy c-means (FCM) clustering technique. This …
mammographic images using kernel based fuzzy c-means (FCM) clustering technique. This …
Mammographic image segmentation by marker controlled watershed algorithm
A Chattaraj, A Das… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Breast cancer is one of the major causes of death among women around the world. To
diagnose this disease using mammography technique, segmentation is an important step to …
diagnose this disease using mammography technique, segmentation is an important step to …
Segmentation of breast masses in local dense background using adaptive clip limit-CLAHE
Mass segmentation in mammograms is a challenging task if the mass is located in a local
dense background. It can be due to the similarity of intensities between the overlapped …
dense background. It can be due to the similarity of intensities between the overlapped …
[PDF][PDF] Mammogram enhancement and segmentation methods: classification, analysis, and evaluation
Breast cancer is the leading cause of deaths among female cancer patients. Mammography
is the most effective technique for breast cancer screening and detection of abnormalities …
is the most effective technique for breast cancer screening and detection of abnormalities …
Mammographic mass detection with statistical region merging
An automatic method for detection of mammographic masses is presented which utilizes
statistical region merging for segmentation (SRM) and linear discriminant analysis (LDA) for …
statistical region merging for segmentation (SRM) and linear discriminant analysis (LDA) for …
Superpixel texture analysis for classification of breast masses in dense background
Finding masses in dense background is a difficult task for even experienced radiologist. It is
due to the similarity of intensity between the masses and the overlapped normal dense …
due to the similarity of intensity between the masses and the overlapped normal dense …
Breast image registration and deformation modeling
T Boehler, F Zoehrer, M Harz… - Critical Reviews™ in …, 2012 - dl.begellhouse.com
Image-based examination of the breast facilitates the detection of breast diseases,
particularly of present benign and malignant lesions. For computer-aided processing of …
particularly of present benign and malignant lesions. For computer-aided processing of …
A new method for mammographic mass segmentation based on parametric active contour model
Image segmentation is an important task in the analysis of mammograms and it is
challenging because the masses are low contrast with ambiguous margins. The classical …
challenging because the masses are low contrast with ambiguous margins. The classical …