[HTML][HTML] Applying deep learning for breast cancer detection in radiology
E Mahoro, MA Akhloufi - Current Oncology, 2022 - mdpi.com
Recent advances in deep learning have enhanced medical imaging research. Breast cancer
is the most prevalent cancer among women, and many applications have been developed to …
is the most prevalent cancer among women, and many applications have been developed to …
A review of automatic mass detection and segmentation in mammographic images
A Oliver, J Freixenet, J Marti, E Perez, J Pont… - Medical image …, 2010 - Elsevier
The aim of this paper is to review existing approaches to the automatic detection and
segmentation of masses in mammographic images, highlighting the key-points and main …
segmentation of masses in mammographic images, highlighting the key-points and main …
[HTML][HTML] Intellectual detection and validation of automated mammogram breast cancer images by multi-class SVM using deep learning classification
Breast cancer is a crucial reason for death in females. Early recognition of this disease with
the assistance of mammography reduces the death rate. Deep learning (DL) is an approach …
the assistance of mammography reduces the death rate. Deep learning (DL) is an approach …
Computer-aided breast cancer detection using mammograms: a review
The American Cancer Society (ACS) recommends women aged 40 and above to have a
mammogram every year and calls it a gold standard for breast cancer detection. Early …
mammogram every year and calls it a gold standard for breast cancer detection. Early …
A novel feature selection framework based on grey wolf optimizer for mammogram image analysis
B Sathiyabhama, SU Kumar, J Jayanthi… - Neural Computing and …, 2021 - Springer
Breast cancer is one of the significant tumor death in women. Computer-aided diagnosis
(CAD) supports the radiologists in recognizing the irregularities in an efficient manner. In this …
(CAD) supports the radiologists in recognizing the irregularities in an efficient manner. In this …
[HTML][HTML] Benign and malignant breast cancer segmentation using optimized region growing technique
Breast cancer is one of the dreadful diseases that affect women globally. The occurrences of
breast masses in the breast region are the main cause for women to develop a breast …
breast masses in the breast region are the main cause for women to develop a breast …
A systematic survey of deep learning in breast cancer
In recent years, we witnessed a speeding development of deep learning in computer vision
fields like categorization, detection, and semantic segmentation. Within several years after …
fields like categorization, detection, and semantic segmentation. Within several years after …
Computer-aided diagnosis of malignant mammograms using Zernike moments and SVM
This work is directed toward the development of a computer-aided diagnosis (CAD) system
to detect abnormalities or suspicious areas in digital mammograms and classify them as …
to detect abnormalities or suspicious areas in digital mammograms and classify them as …
Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images
Breast cancer is one of the prime causes of death in women. Early detection may help to
improve the survival rate to a great extent. Mammography is considered as one of the most …
improve the survival rate to a great extent. Mammography is considered as one of the most …
Contourlet-based mammography mass classification using the SVM family
This paper is concerned with the design and development of an automatic mass
classification of mammograms. The proposed method consists of three stages. In the first …
classification of mammograms. The proposed method consists of three stages. In the first …