A review of mammographic region of interest classification
Early detection of breast cancer is important and highly valuable in clinical practice. X‐ray
mammography is broadly used for prescreening the breast and is also attractive due to its …
mammography is broadly used for prescreening the breast and is also attractive due to its …
Malignant and benign mass segmentation in mammograms using active contour methods
M Ciecholewski - Symmetry, 2017 - mdpi.com
The correct segmentation of tumours can simplify formulate the diagnostic hypothesis,
particularly in cases of irregular shapes, with fuzzy margins or spicules growing into the …
particularly in cases of irregular shapes, with fuzzy margins or spicules growing into the …
Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesis
Abstract Characterization of masses in computer-aided detection systems for digital breast
tomosynthesis (DBT) is an important step to reduce false positive (FP) rates. To effectively …
tomosynthesis (DBT) is an important step to reduce false positive (FP) rates. To effectively …
Unsupervised breast masses classification through optimum-path forest
Computer-Aided Diagnosis (CAD) can be divided into two main categories: CADe
(Computer-Aided Detection), which is focused on the detection of structures of interest, as …
(Computer-Aided Detection), which is focused on the detection of structures of interest, as …
Computer aided diagnosis system for mammogram analysis: a survey
R Nithya, B Santhi - Journal of Medical Imaging and Health …, 2015 - ingentaconnect.com
This paper presents a survey in the field of computer aided diagnosis (CAD) of breast
cancer. Breast cancer is a common disease among the women. Mammography is the most …
cancer. Breast cancer is a common disease among the women. Mammography is the most …
Breast tumor classification and segmentation using convolutional neural networks
P Yousefikamal - arxiv preprint arxiv:1905.04247, 2019 - arxiv.org
Breast cancer is considered as the most fatal type of cancer among women worldwide and it
is crucially important to be diagnosed at its early stages. In the current study, we aim to …
is crucially important to be diagnosed at its early stages. In the current study, we aim to …
Multi-view score fusion for content-based mammogram retrieval
Screening mammography provides two views for each breast: Medio-Lateral Oblique (MLO)
and Cranial-Caudal (CC) views. However, current content based image retrieval (CBIR) …
and Cranial-Caudal (CC) views. However, current content based image retrieval (CBIR) …
Classification of masses in digital mammograms using the genetic ensemble method
S Thawkar, R Ingolikar - Journal of Intelligent systems, 2019 - degruyter.com
All over the world, breast cancer is the second leading cause of death in women above 40
years of age. To design an efficient classification system for breast cancer diagnosis, one …
years of age. To design an efficient classification system for breast cancer diagnosis, one …
Contribution to the Pre-processing Method for Image Quality Improving: Application to Mammographic Images.
Y Nadji, J Mbainaibeye, G Toussaint - International Journal of Image …, 2023 - go.gale.com
Breast cancer is the most common type of cancer of women worldwide, but it can be cured if
diagnosed at an early stage. Mammography is the main means of cancer screening and …
diagnosed at an early stage. Mammography is the main means of cancer screening and …
An ensemble-based approach for breast mass classification in mammography images
PB Ribeiro, JP Papa… - Medical Imaging 2017 …, 2017 - spiedigitallibrary.org
Mammography analysis is an important tool that helps detecting breast cancer at the very
early stages of the disease, thus increasing the quality of life of hundreds of thousands of …
early stages of the disease, thus increasing the quality of life of hundreds of thousands of …