Deep learning approaches to detect breast cancer: a comprehensive review
AM Sharafaddini, KK Esfahani, N Mansouri - Multimedia Tools and …, 2024 - Springer
Detection and diagnosis of breast cancer have greatly benefited from advances in deep
learning, addressing the critical problem of early detection and accurate diagnosis. This …
learning, addressing the critical problem of early detection and accurate diagnosis. This …
A hybrid lightweight breast cancer classification framework using the histopathological images
D Addo, S Zhou, K Sarpong, OT Nartey… - Biocybernetics and …, 2024 - Elsevier
A crucial element in the diagnosis of breast cancer is the utilization of a classification method
that is efficient, lightweight, and precise. Convolutional neural networks (CNNs) have …
that is efficient, lightweight, and precise. Convolutional neural networks (CNNs) have …
[HTML][HTML] A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images
With over 2.1 million new cases of breast cancer diagnosed annually, the incidence and
mortality rate of this disease pose severe global health issues for women. Identifying the …
mortality rate of this disease pose severe global health issues for women. Identifying the …
FD-Net: Feature distillation network for oral squamous cell carcinoma lymph node segmentation in hyperspectral imagery
Oral squamous cell carcinoma (OSCC) has the characteristics of early regional lymph node
metastasis. OSCC patients often have poor prognoses and low survival rates due to cervical …
metastasis. OSCC patients often have poor prognoses and low survival rates due to cervical …
An in-depth review of AI-based techniques for early diagnosis of breast cancer: Evaluation of CAD system design and classification methodologies
WM Shaban, AA Abdullah… - … Conference (ITC-Egypt), 2023 - ieeexplore.ieee.org
One of the most prevalent forms of cancer among women worldwide is breast cancer, the
leading cause of mortality. The vital procedure of early breast cancer detection can help with …
leading cause of mortality. The vital procedure of early breast cancer detection can help with …
B2C3NetF2: Breast cancer classification using an end‐to‐end deep learning feature fusion and satin bowerbird optimization controlled Newton Raphson feature …
Currently, the improvement in AI is mainly related to deep learning techniques that are
employed for the classification, identification, and quantification of patterns in clinical …
employed for the classification, identification, and quantification of patterns in clinical …
Using pbl and agile to teach artificial intelligence to undergraduate computing students
VAM De Barros, HM Paiva, VT Hayashi - IEEE Access, 2023 - ieeexplore.ieee.org
Project-based learning (PBL) is an active learning methodology focused on developing both
soft and hard skills by solving real-world problems. In PBL, teachers act as facilitators while …
soft and hard skills by solving real-world problems. In PBL, teachers act as facilitators while …
A deep learning framework with an intermediate layer using the swarm intelligence optimizer for diagnosing oral squamous cell carcinoma
B Nagarajan, S Chakravarthy, VK Venkatesan… - Diagnostics, 2023 - mdpi.com
One of the most prevalent cancers is oral squamous cell carcinoma, and preventing mortality
from this disease primarily depends on early detection. Clinicians will greatly benefit from …
from this disease primarily depends on early detection. Clinicians will greatly benefit from …
Prediction of breast cancer based on computer vision and artificial intelligence techniques
Breast cancer is a leading cause of mortality among women. Early detection will increase
the chances of successful treatment and minimize the death rate. Even though many studies …
the chances of successful treatment and minimize the death rate. Even though many studies …
Intelligent Breast Mass Classification Approach Using Archimedes Optimization Algorithm with Deep Learning on Digital Mammograms
M Basheri - Biomimetics, 2023 - mdpi.com
Breast cancer (BC) has affected many women around the world. To accomplish the
classification and detection of BC, several computer-aided diagnosis (CAD) systems have …
classification and detection of BC, several computer-aided diagnosis (CAD) systems have …