[PDF][PDF] Breast cancer detection and image evaluation using augmented deep convolutional neural networks

SRA Ahmed, ON Uçan, AD Duru… - Aurum journal of …, 2018 - dergipark.org.tr
AbstractBreast malignancy is one of the primary driver of disease demise around the world.
Early diagnostics essentiallybuilds the odds of right treatment and survival, however this …

A robust deep neural network based breast cancer detection and classification

RF Mansour - International Journal of Computational Intelligence …, 2020 - World Scientific
The exponential upward push in breast cancer cases across the globe has alarmed
academia-industries to obtain certain more effect and strong Breast cancer laptop Aided …

Automatic breast cancer classification from histopathological images

F Anwar, O Attallah, N Ghanem… - … conference on advances …, 2020 - ieeexplore.ieee.org
Breast cancer (BC) is a common health problem of major significance, as it is the most
widely kind of cancer among women which leads to morbidity and mortality. Pathological …

Analysis of histopathological images for prediction of breast cancer using traditional classifiers with pre-trained CNN

K Gupta, N Chawla - Procedia Computer Science, 2020 - Elsevier
Breast cancer is one of the most commonly found and dangerous cancer among women
which leads to a major research topic in medical science. Most of the times, it is identified by …

Deep convolutional network for breast cancer classification: enhanced loss function (ELF)

S Acharya, A Alsadoon, PWC Prasad… - The Journal of …, 2020 - Springer
The accurate classification of the histopathological images of breast cancer diagnosis may
face a huge challenge due to the complexity of the pathologist images. Currently, computer …

Deep convolutional neural networks for breast cancer histology image analysis

A Rakhlin, A Shvets, V Iglovikov, AA Kalinin - Image Analysis and …, 2018 - Springer
Breast cancer is one of the main causes of cancer death worldwide. Early diagnostics
significantly increases the chances of correct treatment and survival, but this process is …

Convolutional neural network classification of cancer cytopathology images: taking breast cancer as an example

M Xiao, Y Li, X Yan, M Gao, W Wang - Proceedings of the 2024 7th …, 2024 - dl.acm.org
Breast cancer is a relatively common cancer among gynecological cancers. Its diagnosis
often relies on the pathology of cells in the lesion. The pathological diagnosis of breast …

Breast cancer diagnosis in histopathological images using ResNet-50 convolutional neural network

QA Al-Haija, A Adebanjo - 2020 IEEE International IOT …, 2020 - ieeexplore.ieee.org
Breast cancer disease is the second most common world cause of cancer death in women.
However, the early diagnostics and detection can provide a significant chance for correct …

Classification of histopathological images for early detection of breast cancer using deep learning

EM Senan, FW Alsaade… - Journal of Applied …, 2021 - jase.tku.edu.tw
Breast cancer is one of the most common and deadly types of cancer that develops in the
breast tissue of women worldwide. This is why researchers and experts are interested in …

Deep learning applied for histological diagnosis of breast cancer

Y Yari, TV Nguyen, HT Nguyen - IEEE Access, 2020 - ieeexplore.ieee.org
Deep learning, as one of the currently most popular computer science research trends,
improves neural networks, which has more and deeper layers allowing higher abstraction …