[HTML][HTML] Deep learning in mammography images segmentation and classification: Automated CNN approach
In this work, a new framework for breast cancer image segmentation and classification is
proposed. Different models including InceptionV3, DenseNet121, ResNet50, VGG16 and …
proposed. Different models including InceptionV3, DenseNet121, ResNet50, VGG16 and …
Detection of breast cancer using fusion of MLO and CC view features through a hybrid technique based on binary firefly algorithm and optimum-path forest classifier
Breast cancer is a leading killer disease among women of the new era. As per the
GLOBOCAN project, the breast cancer incidences showed an increase from 22.2 to 27 …
GLOBOCAN project, the breast cancer incidences showed an increase from 22.2 to 27 …
Fusion of MLO and CC view binary patterns to improve the performance of breast cancer diagnosis
S Sasikala, M Bharathi, M Ezhilarasi… - Current Medical …, 2018 - ingentaconnect.com
Background: Breast cancer remains the leading cause of cancer deaths among women
globally. To reduce the breast cancer mortality, early detection, diagnosis and treatment is …
globally. To reduce the breast cancer mortality, early detection, diagnosis and treatment is …
Fusion of k-Gabor features from medio-lateral-oblique and craniocaudal view mammograms for improved breast cancer diagnosis
S Sasikala, M Ezhilarasi - Journal of Cancer Research and …, 2018 - journals.lww.com
Aim: The aim of this study is to propose a breast cancer diagnostic technique for improving
the diagnostic accuracy and reducing the false positive rate by fusing mammographic …
the diagnostic accuracy and reducing the false positive rate by fusing mammographic …
Comparative analysis of serial and parallel fusion on texture features for improved breast cancer diagnosis
S Sasikala, M Ezhilarasi - Current Medical Imaging, 2018 - ingentaconnect.com
Background: Computer Aided Diagnosis (CADx) with screening mammography could help
radiologists and doctors in reliable and accurate identification of breast cancer at the …
radiologists and doctors in reliable and accurate identification of breast cancer at the …
Breast cancer detection based on medio-lateral ObliqueView and cranio-caudal view mammograms: An overview
S Sasikala, M Bharathi, M Ezhilarasi… - 2019 IEEE 10th …, 2019 - ieeexplore.ieee.org
Breast cancer is a leading cause of death among women. At the early stage, no obvious
symptoms were identified in breast cancer patients. Accurate detection of breast cancer at …
symptoms were identified in breast cancer patients. Accurate detection of breast cancer at …
Advancement on breast cancer detection using medio-lateral-oblique (Mlo) and cranio-caudal (CC) features
The purpose of this paper is to diagnose accurately the breast cancer for which aa computer
aided diagnostic system (CAD) is being proposed. In this paper two types of views are used …
aided diagnostic system (CAD) is being proposed. In this paper two types of views are used …
Assessing The Efficacy: A Comparative Analysis Of Invasive And Non-Invasive Diagnostic Methods For Early Detection And Screening Of Breast Cancer
VK Abiramasundari, B Rajarajeswari… - … : Theory and Practice, 2024 - kuey.net
Breast cancer remains a significant global health concern, necessitating efficient methods
for early detection and screening. This study conducts a comprehensive comparative …
for early detection and screening. This study conducts a comprehensive comparative …
[引用][C] Algoritmo de extraçao de textura baseado em wavelet e clbp para classificaçao de lesoes em mamogramas
YAS Duarte, MZ do Nascimento, DLL Oliveiras - Anais do XIII Workshop de …, 2013 - SBC
[引用][C] XIII Workshop de Visão Computacional: anais do 13º Workshop de Visão Computacional realizado na UFRN
RB Gomes, LMG Gonçalves - 2018 - Editora da UFRN