[HTML][HTML] Aquila Optimizer with Bayesian neural network for breast cancer detection on ultrasound images

M Obayya, SB Haj Hassine, S Alazwari, M K. Nour… - Applied Sciences, 2022 - mdpi.com
Breast cancer is the second most dominant kind of cancer among women. Breast Ultrasound
images (BUI) are commonly employed for the detection and classification of abnormalities …

Hybrid deep learning and genetic algorithms approach (HMB-DLGAHA) for the early ultrasound diagnoses of breast cancer

HM Balaha, M Saif, A Tamer, EH Abdelhay - Neural Computing and …, 2022 - Springer
Breast cancer is one of the most commonly diagnosed cancers in the world that has
overtaken lung cancer and is considered a leading cause of molarity. The current study …

U-WOA: an unsupervised whale optimization algorithm based deep feature selection method for cancer detection in breast ultrasound images

P Pramanik, R Pramanik, A Naskar, S Mirjalili… - Handbook of Whale …, 2024 - Elsevier
Breast cancer, if found to be malignant, is a serious health issue that affects millions of
women every year. Hence, the presence of any such disease requires prior attention to be …

[HTML][HTML] BU-DLNet: Breast Ultrasonography-Based Cancer Detection Using Deep-Learning Network Selection and Feature Optimization

A Zafar, J Tanveer, MU Ali, SW Lee - Bioengineering, 2023 - mdpi.com
Early detection of breast lesions and distinguishing between malignant and benign lesions
are critical for breast cancer (BC) prognosis. Breast ultrasonography (BU) is an important …

An efficient deep learning scheme to detect breast cancer using mammogram and ultrasound breast images

A Sahu, PK Das, S Meher - Biomedical Signal Processing and Control, 2024 - Elsevier
Breast cancer is the second major reason of death among women around the world. Early
and accurate breast cancer detection is important for proper treatment planning to save a …

[HTML][HTML] Meta-heuristic algorithm-tuned neural network for breast cancer diagnosis using ultrasound images

S Bourouis, SS Band, A Mosavi, S Agrawal… - Frontiers in …, 2022 - frontiersin.org
Breast cancer is the most menacing cancer among all types of cancer in women around the
globe. Early diagnosis is the only way to increase the treatment options which then …

A novel deep CNN model for improved breast cancer detection using ultrasound images

PK Samanta, NK Rout, G Panda - … International Conference on …, 2023 - ieeexplore.ieee.org
The biggest cause of cancer related fatalities in women globally is breast cancer. So, the
early detection of this disease is beneficial to the patient since it allows for the adaptation of …

Optimal deep transfer learning driven computer‐aided breast cancer classification using ultrasound images

M Ragab, AO Khadidos, AM Alshareef… - Expert …, 2024 - Wiley Online Library
Breast cancer (BC) is regarded as the second leading type of cancer among women
globally. Ultrasound images are typically used for the identification and classification of …

Improving the classification performance of breast ultrasound image using deep learning and optimization algorithm

P Khanna, M Sahu, BK Singh - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Breast cancer is a common and major health concern in women across the world. Early
prognosis can ensure better and cost-effective treatment thus reducing the mortality rate. In …

Computer-aided diagnosis using white shark optimizer with attention-based deep learning for breast cancer classification

RK Chandana Mani… - Journal of Intelligent & …, 2023 - content.iospress.com
Breast cancer (BC) is categorized as the most widespread cancer among women throughout
the world. The earlier analysis of BC assists to increase the survival rate of the disease. BC …