[HTML][HTML] A new deep-learning-based model for breast cancer diagnosis from medical images

S Zakareya, H Izadkhah, J Karimpour - Diagnostics, 2023 - mdpi.com
Breast cancer is one of the most prevalent cancers among women worldwide, and early
detection of the disease can be lifesaving. Detecting breast cancer early allows for treatment …

[HTML][HTML] Mammogram image enhancement techniques for online breast cancer detection and diagnosis

DS da Silva, CS Nascimento, SK Jagatheesaperumal… - Sensors, 2022 - mdpi.com
Breast cancer is the type of cancer with the highest incidence and global mortality of female
cancers. Thus, the adaptation of modern technologies that assist in medical diagnosis in …

[HTML][HTML] Efficient and Automatic Breast Cancer Early Diagnosis System Based on the Hierarchical Extreme Learning Machine

S Lyu, RCC Cheung - Sensors, 2023 - mdpi.com
Breast cancer is the leading type of cancer in women, causing nearly 600,000 deaths every
year, globally. Although the tumors can be localized within the breast, they can spread to …

[HTML][HTML] A mathematical model for simulating photoacoustic signal generation and propagation in biological tissues

MT GadAllah, AENA Mohamed, AA Hefnawy… - Optical and Quantum …, 2024 - Springer
Photoacoustic (PA) medical imaging is a crossbred technique relying on light-induced
ultrasonic waves due to the PA effect phenomenon recorded primarily in 1880 by AG Bell …

Inception ResNet v2 for Early Detection of Breast Cancer in Ultrasound Images

TL Nikmah, RM Syafei, DN Anisa… - Journal of …, 2024 - shmpublisher.com
Breast cancer is one of the leading causes of death in women. Early detection through
breast ultrasound images is important and can be improved using machine learning models …

[HTML][HTML] A robust encoder decoder based weighted segmentation and dual staged feature fusion based meta classification for breast cancer utilizing ultrasound …

MHAMH Himel, P Chowdhury, MAM Hasan - Intelligent Systems with …, 2024 - Elsevier
Ultrasound imaging has become one of the most frequently employed modalities to detect
and classify breast irregularities, which is a relatively cost-effective and important …

A Mathematical Model for Simulating Photoacoustic Signal Generation Process in Biological Tissues

MT GadAllah, AENA Mohamed, A Hefnawy, H Zidan… - 2023 - researchsquare.com
Background: Biomedical photoacoustic imaging (PAI) is a hybrid imaging modality based on
the laser-generated ultrasound waves due to the photoacoustic (PA) effect physical …

[PDF][PDF] A New Deep-Learning-Based Model for Breast Cancer Diagnosis from Medical Images. Diagnostics 2023, 13, 1944

S Zakareya, H Izadkhah, J Karimpour - 2023 - academia.edu
Breast cancer is one of the most prevalent cancers among women worldwide, and early
detection of the disease can be lifesaving. Detecting breast cancer early allows for treatment …

Convolutional Neural Networks Based Classification of Segmented Breast Ultrasound Images–A Comparative Preliminary Study

MT GadAllah, AENA Mohamed… - 2023 Intelligent …, 2023 - ieeexplore.ieee.org
Computer-aided diagnosis (CAD) helps physicians in tumors' identification into various
biomedical tissues, breast is one. Through the last few years, image classification …

DEVELOPING A BREAST CANCER DISEASE DETECTION MODEL USING CNN APPROACH

M Gizaw - 2022 - repository.smuc.edu.et
Cells that divide uncontrollably and spread into the surrounding tissues are what cause
cancer. DNA changes are a cause of cancer. The majority of DNA alterations that lead to …