Benign and malignant breast tumors classification based on region growing and CNN segmentation
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 …
early detection of breast cancer increases the survival chance, creation of a system to …
A deep feature based framework for breast masses classification
Characteristic classification of mass plays a role of vital importance in diagnosis of breast
cancer. The existing computer aided diagnosis (CAD) methods used to benefit a lot from low …
cancer. The existing computer aided diagnosis (CAD) methods used to benefit a lot from low …
An automatic computer-aided diagnosis system for breast cancer in digital mammograms via deep belief network
Computer-aided diagnosis (CAD) offers assistance to radiologists in the interpretation of
medical images. A CAD system learns the nature of different tissues and uses this …
medical images. A CAD system learns the nature of different tissues and uses this …
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 …
A hybrid artificial bee colony with whale optimization algorithm for improved breast cancer diagnosis
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 …
early stages. Early diagnosis plays a vital role in decreasing the mortality rate globally …
Deep feature–based automatic classification of mammograms
Breast cancer has the second highest frequency of death rate among women worldwide.
Early-stage prevention becomes complex due to reasons unknown. However, some typical …
Early-stage prevention becomes complex due to reasons unknown. However, some typical …
A parasitic metric learning net for breast mass classification based on mammography
Accurate classification of different tumors in mammography plays a critical role in the early
diagnosis of breast cancer. However, owing to variations in appearance, it is a challenging …
diagnosis of breast cancer. However, owing to variations in appearance, it is a challenging …
Image descriptors in radiology images: a systematic review
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 …
weight or information extracted from image exams, among others. Depending on the nature …
[HTML][HTML] Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM
FSS de Oliveira, AO de Carvalho Filho, AC Silva… - Computers in biology …, 2015 - Elsevier
Breast cancer is the second most common type of cancer in the world. Several computer-
aided detection and diagnosis systems have been used to assist health experts identify …
aided detection and diagnosis systems have been used to assist health experts identify …
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 …