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 …
Boosting breast cancer detection using convolutional neural network
SA Alanazi, MM Kamruzzaman… - Journal of …, 2021 - Wiley Online Library
Breast cancer forms in breast cells and is considered as a very common type of cancer in
women. Breast cancer is also a very life‐threatening disease of women after lung cancer. A …
women. Breast cancer is also a very life‐threatening disease of women after lung cancer. A …
Intelligent hybrid deep learning model for breast cancer detection
Breast cancer (BC) is a type of tumor that develops in the breast cells and is one of the most
common cancers in women. Women are also at risk from BC, the second most life …
common cancers in women. Women are also at risk from BC, the second most life …
A survey on 5G/6G, AI, and Robotics
The development of various fields of computer is constantly improving people's lives. In
recent years, the most obvious is the development of Artificial Intelligence (AI). Computer …
recent years, the most obvious is the development of Artificial Intelligence (AI). Computer …
COVID-19 detection in chest X-ray images using deep boosted hybrid learning
The new emerging COVID-19, declared a pandemic disease, has affected millions of human
lives and caused a massive burden on healthcare centers. Therefore, a quick, accurate, and …
lives and caused a massive burden on healthcare centers. Therefore, a quick, accurate, and …
A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks
Medical Imaging has become a vital technique that has been embraced in the diagnosis and
treatment process of cancer. Histopathological slides, which microscopically examine the …
treatment process of cancer. Histopathological slides, which microscopically examine the …
COVID-19 detection in chest X-ray images using a new channel boosted CNN
COVID-19 is a respiratory illness that has affected a large population worldwide and
continues to have devastating consequences. It is imperative to detect COVID-19 at the …
continues to have devastating consequences. It is imperative to detect COVID-19 at the …
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier
Mitotic nuclei estimation in breast tumour samples has a prognostic significance in analysing
tumour aggressiveness and grading system. The automated assessment of mitotic nuclei is …
tumour aggressiveness and grading system. The automated assessment of mitotic nuclei is …
AI-enabled routine H&E image based prognostic marker for early-stage luminal breast cancer
Breast cancer (BC) grade is a well-established subjective prognostic indicator of tumour
aggressiveness. Tumour heterogeneity and subjective assessment result in high degree of …
aggressiveness. Tumour heterogeneity and subjective assessment result in high degree of …
Deep convolutional neural network and emotional learning based breast cancer detection using digital mammography
N Chouhan, A Khan, JZ Shah, M Hussnain… - Computers in Biology …, 2021 - Elsevier
Breast cancer is one of the deadly diseases among women. However, the chances of death
are highly reduced if it gets diagnosed and treated at its early stage. Mammography is one of …
are highly reduced if it gets diagnosed and treated at its early stage. Mammography is one of …