BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in …
The early detection of breast cancer using mammogram images is critical for lowering
women's mortality rates and allowing for proper treatment. Deep learning techniques are …
women's mortality rates and allowing for proper treatment. Deep learning techniques are …
BC2NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based …
One of the most frequent cancers in women is breast cancer, and in the year 2022,
approximately 287,850 new cases have been diagnosed. From them, 43,250 women died …
approximately 287,850 new cases have been diagnosed. From them, 43,250 women died …
AWFCNET: An attention-aware deep learning network with fusion classifier for breast cancer classification using enhanced mammograms
RR Maaliw, M Soni, MPD Santos… - 2023 IEEE World AI …, 2023 - ieeexplore.ieee.org
Breast cancer remains a significant public health concern and a leading cause of female
mortality despite recent advances in healthcare. Experts agree that its early prognosis is a …
mortality despite recent advances in healthcare. Experts agree that its early prognosis is a …
Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance
AS Elkorany, ZF Elsharkawy - Scientific Reports, 2023 - nature.com
Breast cancer (BC) is spreading more and more every day. Therefore, a patient's life can be
saved by its early discovery. Mammography is frequently used to diagnose BC. The …
saved by its early discovery. Mammography is frequently used to diagnose BC. The …
TTCNN: A breast cancer detection and classification towards computer-aided diagnosis using digital mammography in early stages
S Maqsood, R Damaševičius, R Maskeliūnas - Applied Sciences, 2022 - mdpi.com
Breast cancer is a major research area in the medical image analysis field; it is a dangerous
disease and a major cause of death among women. Early and accurate diagnosis of breast …
disease and a major cause of death among women. Early and accurate diagnosis of breast …
CbcErDL: Classification of breast cancer from mammograms using enhance image reduction and deep learning framework
Breast cancer is a major health concern for women worldwide, and early detection is vital to
improve treatment outcomes. While existing techniques in mammogram classification have …
improve treatment outcomes. While existing techniques in mammogram classification have …
Region-of-interest optimization for deep-learning-based breast cancer detection in mammograms
The early detection and diagnosis of breast cancer may increase survival rates and reduce
overall treatment costs. The cancer of the breast is a severe and potentially fatal disease that …
overall treatment costs. The cancer of the breast is a severe and potentially fatal disease that …
New enhanced breast tumor detection approach in mammogram scans based on pre-processing and deep transfer learning techniques
SS Boudouh, M Bouakkaz - Multimedia Tools and Applications, 2024 - Springer
Breast cancer has surpassed heart disease as the second most common cause of mortality
among women. Amongst several imaging techniques, mammogram scans are considered …
among women. Amongst several imaging techniques, mammogram scans are considered …
Traditional machine learning algorithms for breast cancer image classification with optimized deep features
For breast cancer diagnosis, computer-aided classification of histopathological images is of
critical importance for correct and early diagnosis. Transfer learning approaches for feature …
critical importance for correct and early diagnosis. Transfer learning approaches for feature …
Improved Breast Cancer Detection in Mammography Images: Integration of Convolutional Neural Network and Local Binary Pattern Approach
Cancer, characterized by uncontrolled cell division, is an incurable ailment, with breast
cancer being the most prevalent form globally. Early detection remains critical in reducing …
cancer being the most prevalent form globally. Early detection remains critical in reducing …