Breast cancer dataset, classification and detection using deep learning

MS Iqbal, W Ahmad, R Alizadehsani, S Hussain… - Healthcare, 2022 - mdpi.com
Incorporating scientific research into clinical practice via clinical informatics, which includes
genomics, proteomics, bioinformatics, and biostatistics, improves patients' treatment …

A systematic review on screening, examining and classification of breast cancer

SC SR, H Rajaguru - 2021 Smart Technologies …, 2021 - ieeexplore.ieee.org
Breast cancer is one of the major causes of women's death. This leads to an immediate
requirement for an earlier and accurate diagnosis to lower the mortality rate. Computer …

Breast cancer detection using deep learning: Datasets, methods, and challenges ahead

RA Dar, M Rasool, A Assad - Computers in biology and medicine, 2022 - Elsevier
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 …

A drive through computer-aided diagnosis of breast cancer: a comprehensive study of clinical and technical aspects

P Oza, P Sharma, S Patel - … in Computing: Proceedings of ICRIC 2021 …, 2022 - Springer
Breast cancer is a very common and life-threatening disease in women worldwide. The
number of breast cancer cases is increasing with time. Prevention of this disease is very …

Computer assisted diagnosis of breast cancer using histopathology images and convolutional neural networks

CS Vikranth, B Jagadeesh, K Rakesh… - 2022 2nd …, 2022 - ieeexplore.ieee.org
In recent years, breast cancer has become one of the most prevalent kinds of cancer. Breast
Ultrasound, Diagnostic Mammogram, Magnetic Resonance Imaging (MRI), and other …

Fusion of deep learning and image processing techniques for breast cancer diagnosis

V Ajantha Devi, A Nayyar - Deep learning for cancer diagnosis, 2021 - Springer
Deep learning has the capacity to gain great accuracy of diagnosing of numerous types of
cancers, along with lung, cervical, colon, and breast cancer. It builds an efficient algorithm …

A comprehensive survey on deep-learning-based breast cancer diagnosis

MF Mridha, MA Hamid, MM Monowar, AJ Keya, AQ Ohi… - Cancers, 2021 - mdpi.com
Simple Summary Breast cancer was diagnosed in 2.3 million women, and around 685,000
deaths from breast cancer were recorded globally in 2020, making it the most common …

Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review

EH Houssein, MM Emam, AA Ali… - Expert Systems with …, 2021 - Elsevier
Breast cancer is the second leading cause of death for women, so accurate early detection
can help decrease breast cancer mortality rates. Computer-aided detection allows …

Classification of breast cancer in mammograms with deep learning adding a fifth class

S Castro-Tapia, CL Castaneda-Miranda… - Applied Sciences, 2021 - mdpi.com
Breast cancer is one of the diseases of most profound concern, with the most prevalence
worldwide, where early detections and diagnoses play the leading role against this disease …

A review of machine learning techniques for the classification and detection of breast cancer from medical images

R Jalloul, HK Chethan, R Alkhatib - Diagnostics, 2023 - mdpi.com
Cancer is an incurable disease based on unregulated cell division. Breast cancer is the
most prevalent cancer in women worldwide, and early detection can lower death rates …