Classification of benign and malignant masses based on Zernike moments
In mammography diagnosis systems, high False Negative Rate (FNR) has always been a
significant problem since a false negative answer may lead to a patient's death. This paper …
significant problem since a false negative answer may lead to a patient's death. This paper …
Classification of benign and malignant breast tumors based on hybrid level set segmentation
Abstract Computer-aided Diagnosis (CADx) technology can substantially aid in early
detection and diagnosis of breast cancers. However, the overall performance of a CADx …
detection and diagnosis of breast cancers. However, the overall performance of a CADx …
Fast opposite weight learning rules with application in breast cancer diagnosis
Classification of breast abnormalities such as masses is a challenging task for radiologists.
Computer-aided Diagnosis (CADx) technology may enhance the performance of …
Computer-aided Diagnosis (CADx) technology may enhance the performance of …
A semi-supervised method for tumor segmentation in mammogram images
H Azary, M Abdoos - Journal of Medical Signals & Sensors, 2020 - journals.lww.com
Background: Breast cancer is one of the most common cancers in women. Mammogram
images have an important role in the treatment of various states of this cancer. In recent …
images have an important role in the treatment of various states of this cancer. In recent …
Classification of benign and malignant masses in breast mammograms
A Šerifović-Trbalić, A Trbalić… - … on Information and …, 2014 - ieeexplore.ieee.org
An accurate and efficient computer-aided mammography diagnosis system plays an
important role as a second opinion to assist radiologists. Finding an accurate and robust …
important role as a second opinion to assist radiologists. Finding an accurate and robust …
A compression resistant steganography based on differential Manchester code
S Wang, N Zheng, M Xu - Symmetry, 2021 - mdpi.com
In the field of image steganography research, more and more attention is paid to the
importance of stego image robustness. In order to make steganography accessible from …
importance of stego image robustness. In order to make steganography accessible from …
A novel strategy for identifying oil pollutants based on excitation-emission matrix fluorescence spectroscopy and Zernike moments
Y Cui, D Kong, L Kong, S Wang, H Shi - IEEE Access, 2020 - ieeexplore.ieee.org
Human health and ecological environment are badly affected due to oil pollution. A novel
strategy for identifying oil pollutants has been proposed based on generic modular design. A …
strategy for identifying oil pollutants has been proposed based on generic modular design. A …
An approach to recognize handwritten Hindi characters using substantial zernike moments with genetic algorithm
A technique to recognize off-line handwritten Hindi character is suggested by employing
Zernike complex moments like a tool to describe the characteristics of a character. Further …
Zernike complex moments like a tool to describe the characteristics of a character. Further …
A scale and rotation invariant urdu nastalique ligature recognition using cascade forward backpropagation neural network
KUU Rehman, YD Khan - IEEE Access, 2019 - ieeexplore.ieee.org
In the emerging age of technologies, machines are becoming more and more skilled and
capable just like humans. Despite the fact that machines do not have their own intelligence …
capable just like humans. Despite the fact that machines do not have their own intelligence …
A novel breast mass diagnosis system based on Zernike moments as shape and density descriptors
In this paper, a novel Computer-aided Diagnosis (CADx) system has been proposed for
mass diagnosis in mammography images. Zernike moments are utilized as descriptors of …
mass diagnosis in mammography images. Zernike moments are utilized as descriptors of …