Breast cancer classification and segmentation framework using multiscale CNN and U‐shaped dual decoded attention network

MJ Umer, M Sharif, SH Wang - Expert Systems, 2022 - Wiley Online Library
Breast cancer is a mostly diagnosed deadly disease with a high mortality rate that can
effectively be cured by early diagnosis and proper treatment. Ultrasound imaging modality is …

Segmentation of Breast Cancer on Ultrasound Images using Attention U-Net Model

S LAGHMATI, K HICHAM, B CHERRADI… - International …, 2023 - search.proquest.com
Breast cancer (BC) is one of the most prevailing and life-threatening types of cancer
impacting women worldwide. Early detection and accurate diagnosis are crucial for effective …

Ensemble deep-learning-enabled clinical decision support system for breast cancer diagnosis and classification on ultrasound images

M Ragab, A Albukhari, J Alyami, RF Mansour - Biology, 2022 - mdpi.com
Simple Summary In the literature, there exist plenty of research works focused on the
detection and classification of breast cancer. However, only a few works have focused on …

A Multi-attention Triple Decoder Deep Convolution Network for Breast Cancer Segmentation Using Ultrasound Images

MJ Umer, M Sharif, M Raza - Cognitive Computation, 2024 - Springer
Breast cancer (BC) is a widely diagnosed deadly disease commonly present in middle-aged
women around the globe. Ultrasound (U/S) imaging is widely used for the early prediction …

[HTML][HTML] Deep Learning-based Multi-stage segmentation method using ultrasound images for breast cancer diagnosis

SW Cho, NR Baek, KR Park - Journal of King Saud University-Computer …, 2022 - Elsevier
Globally, breast cancer occurs frequently in women and has the highest mortality rate.
Owing to the increased need for a rapid and reliable initial diagnosis of breast cancer …

SKMAT‐U‐Net architecture for breast mass segmentation

SR Sannasi Chakravarthy… - International Journal of …, 2022 - Wiley Online Library
Being a deadly disease, breast cancer provides higher global mortality among women. The
challenge in employing ultrasound imaging for breast cancer diagnosis lies in the …

An RDAU-NET model for lesion segmentation in breast ultrasound images

Z Zhuang, N Li, AN Joseph Raj, VGV Mahesh, S Qiu - PloS one, 2019 - journals.plos.org
Breast cancer is a common gynecological disease that poses a great threat to women health
due to its high malignant rate. Breast cancer screening tests are used to find any warning …

Breast UltraSound Image classification using fuzzy-rank-based ensemble network

SD Deb, RK Jha - Biomedical Signal Processing and Control, 2023 - Elsevier
Breast Cancer is one of the most commonly occurring cancers in women. Detecting cancer
at an earlier stage increases the chance of survival. Thus the development of an automatic …

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 …

A comprehensive framework towards segmenting and classifying breast cancer patients using deep learning and Aquila optimizer

HM Balaha, ER Antar, MM Saafan… - Journal of Ambient …, 2023 - Springer
Breast cancer is among the major frequent types of cancer worldwide, causing a significant
death rate every year. It is the second most prevalent malignancy in Egypt. With the …