A review paper on breast cancer detection using deep learning
KS Priyanka - IOP conference series: materials science and …, 2021 - iopscience.iop.org
Breast Cancer is most popular and growing disease in the world. Breast Cancer is mostly
found in the women. Early detection is a way to control the breast cancer. There are many …
found in the women. Early detection is a way to control the breast cancer. There are many …
Deep learning for breast cancer diagnosis from mammograms—a comparative study
Deep convolutional neural networks (CNNs) are investigated in the context of computer-
aided diagnosis (CADx) of breast cancer. State-of-the-art CNNs are trained and evaluated …
aided diagnosis (CADx) of breast cancer. State-of-the-art CNNs are trained and evaluated …
Integrating segmentation information into CNN for breast cancer diagnosis of mammographic masses
L Tsochatzidis, P Koutla, L Costaridou… - Computer Methods and …, 2021 - Elsevier
Abstract Background and Objectives Segmentation of mammographic lesions has been
proven to be a valuable source of information, as it can assist in both extracting shape …
proven to be a valuable source of information, as it can assist in both extracting shape …
Design guidelines for mammogram-based computer-aided systems using deep learning techniques
F Azour, A Boukerche - IEEE Access, 2022 - ieeexplore.ieee.org
Breast cancer is the second fatal disease among cancers patients both in Canada and
across the globe. However, when detected early, a patients' survival rate can be raised …
across the globe. However, when detected early, a patients' survival rate can be raised …
Automated breast mass classification system using deep learning and ensemble learning in digital mammogram
SJ Malebary, A Hashmi - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, deep learning techniques are employed in the mammography processing
field to reduce radiologists' costs. Existing breast mass classification systems are …
field to reduce radiologists' costs. Existing breast mass classification systems are …
Machine learning model for breast cancer prediction
A Gupta, D Kaushik, M Garg… - … on I-SMAC (IoT in social …, 2020 - ieeexplore.ieee.org
The work which has been presented here mainly concentrates on the prediction of breast
cancer. For this purpose, convolution neural network is used. In this work, previous records …
cancer. For this purpose, convolution neural network is used. In this work, previous records …
A modified LeNet CNN for breast cancer diagnosis in ultrasound images
S Balasubramaniam, Y Velmurugan, D Jaganathan… - Diagnostics, 2023 - mdpi.com
Convolutional neural networks (CNNs) have been extensively utilized in medical image
processing to automatically extract meaningful features and classify various medical …
processing to automatically extract meaningful features and classify various medical …
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 …
Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach
Introduction: Of all the cancers that afflict women, breast cancer (BC) has the second-highest
mortality rate, and it is also believed to be the primary cause of the high death rate. Breast …
mortality rate, and it is also believed to be the primary cause of the high death rate. Breast …
Breast mass tumor classification using deep learning
ASA Rahman, SB Belhaouari… - … on Informatics, IoT …, 2020 - ieeexplore.ieee.org
This study presents pre-trained Convolutional Neural Network (CNN) models to classify pre-
segmented mammogram mass tumors as benign or malignant. Transfer learning, particular …
segmented mammogram mass tumors as benign or malignant. Transfer learning, particular …