Benign and malignant breast tumors classification based on region growing and CNN segmentation

R Rouhi, M Jafari, S Kasaei, P Keshavarzian - Expert Systems with …, 2015 - Elsevier
Breast cancer is regarded as one of the most frequent mortality causes among women. As
early detection of breast cancer increases the survival chance, creation of a system to …

Classification of benign and malignant masses based on Zernike moments

A Tahmasbi, F Saki, SB Shokouhi - Computers in biology and medicine, 2011 - Elsevier
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 …

A hybrid artificial bee colony with whale optimization algorithm for improved breast cancer diagnosis

P Stephan, T Stephan, R Kannan… - Neural Computing and …, 2021 - Springer
Breast cancer is the most common among women that leads to death if not diagnosed at
early stages. Early diagnosis plays a vital role in decreasing the mortality rate globally …

Automatic individual identification of Holstein dairy cows using tailhead images

W Li, Z Ji, L Wang, C Sun, X Yang - Computers and electronics in …, 2017 - Elsevier
The implementation of dairy cow identification will be of great significance in precision
animal management based on computer vision. In this study, a computer vision technique to …

Image descriptors in radiology images: a systematic review

MA Nogueira, PH Abreu, P Martins, P Machado… - Artificial Intelligence …, 2017 - Springer
Clinical decisions are sometimes based on a variety of patient's information such as: age,
weight or information extracted from image exams, among others. Depending on the nature …

Classification of benign and malignant breast tumors based on hybrid level set segmentation

R Rouhi, M Jafari - Expert Systems with Applications, 2016 - Elsevier
Abstract Computer-aided Diagnosis (CADx) technology can substantially aid in early
detection and diagnosis of breast cancers. However, the overall performance of a CADx …

Fast opposite weight learning rules with application in breast cancer diagnosis

F Saki, A Tahmasbi, H Soltanian-Zadeh… - Computers in biology and …, 2013 - Elsevier
Classification of breast abnormalities such as masses is a challenging task for radiologists.
Computer-aided Diagnosis (CADx) technology may enhance the performance of …

Automated detection of breast tumor in different imaging modalities: a review

B Mughal, M Sharif - Current Medical Imaging, 2017 - ingentaconnect.com
Breast cancer is a familiar disease in the female; its effects are, however, not so much
diverse in males. In females, the death rate is gradually increasing due to this disease …

Computer aided diagnosis system for automatic two stages classification of breast mass in digital mammogram images

AM Alqudah, HMS Algharib, AMS Algharib… - Biomedical …, 2019 - World Scientific
Breast cancer is the most frequent cancer type that is diagnosed in women. The exact
causes of such cancer are still unknown. Early and precise detection of breast cancer using …

Automatic breast tumor classification using a level set method and feature extraction in mammography

S Pashoutan, SB Shokouhi… - 2017 24th National and …, 2017 - ieeexplore.ieee.org
Breast cancer is one of the leading factors of cancer-related deaths among women,
therefore designing Computer Aided Diagnosis (CADx) systems to detect malignant and …