Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods
Abstract The Global Cancer Statistics 2020 reported breast cancer (BC) as the most
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …
IoMT cloud-based intelligent prediction of breast cancer stages empowered with deep learning
Breast cancer is often a fatal disease that has a substantial impact on the female mortality
rate. Rapidly spreading breast cancer is due to the abnormal growth of malignant cells in the …
rate. Rapidly spreading breast cancer is due to the abnormal growth of malignant cells in the …
[PDF][PDF] Analysis of convolutional neural network based image classification techniques
M Tripathi - Journal of Innovative Image Processing (JIIP), 2021 - researchgate.net
With the rapid urbanization and people moving from rural areas to urban time has become a
very huge commodity. As a result of this change in people's lifestyles, there is a growing …
very huge commodity. As a result of this change in people's lifestyles, there is a growing …
ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
R Ranjbarzadeh, S Jafarzadeh Ghoushchi… - Artificial Intelligence …, 2023 - Springer
Breast tumor segmentation and recognition from mammograms play a key role in healthcare
and treatment services. As different tumors in mammography have dissimilar densities …
and treatment services. As different tumors in mammography have dissimilar densities …
[HTML][HTML] CNN architecture optimization using bio-inspired algorithms for breast cancer detection in infrared images
CB Gonçalves, JR Souza, H Fernandes - Computers in Biology and …, 2022 - Elsevier
The early detection of breast cancer is a vital factor when it comes to improving cure and
recovery rates in patients. Among such early detection factors, one finds thermography, an …
recovery rates in patients. Among such early detection factors, one finds thermography, an …
Breast cancer detection in thermograms using a hybrid of GA and GWO based deep feature selection method
Breast cancer is one of the most common reasons for the premature death of women
worldwide. However, early detection and diagnosis of the same can save many lives …
worldwide. However, early detection and diagnosis of the same can save many lives …
Automated monkeypox skin lesion detection using deep learning and transfer learning techniques
The current outbreak of monkeypox (mpox) has become a major public health concern
because of the quick spread of this disease across multiple countries. Early detection and …
because of the quick spread of this disease across multiple countries. Early detection and …
Thermal-based early breast cancer detection using inception V3, inception V4 and modified inception MV4
Breast cancer is one of the most significant causes of death for women around the world.
Breast thermography supported by deep convolutional neural networks is expected to …
Breast thermography supported by deep convolutional neural networks is expected to …
Machine learning and deep learning techniques for breast cancer diagnosis and classification: a comprehensive review of medical imaging studies
Background Breast cancer is a major public health concern, and early diagnosis and
classification are critical for effective treatment. Machine learning and deep learning …
classification are critical for effective treatment. Machine learning and deep learning …