Deep learning paradigm and its bias for coronary artery wall segmentation in intravascular ultrasound scans: a closer look
Background and Motivation: Coronary artery disease (CAD) has the highest mortality rate;
therefore, its diagnosis is vital. Intravascular ultrasound (IVUS) is a high-resolution imaging …
therefore, its diagnosis is vital. Intravascular ultrasound (IVUS) is a high-resolution imaging …
DEBCM: deep learning-based enhanced breast invasive ductal carcinoma classification model in IoMT healthcare systems
Accurate breast cancer (BC) diagnosis is a difficult task that is critical for the proper treatment
of BC in IoMT (Internet of Medical Things) healthcare systems. This paper proposes a …
of BC in IoMT (Internet of Medical Things) healthcare systems. This paper proposes a …
DeepLeukNet—A CNN based microscopy adaptation model for acute lymphoblastic leukemia classification
Abstract Acute Lymphoblastic Leukemia is one of the fatal types of disease which causes a
high mortality rate among children and adults. Traditional diagnosing of this disease is …
high mortality rate among children and adults. Traditional diagnosing of this disease is …
CNN‐based deep learning approach for classification of invasive ductal and metastasis types of breast carcinoma
Objective Breast cancer is one of the leading cancer causes among women worldwide. It
can be classified as invasive ductal carcinoma (IDC) or metastatic cancer. Early detection of …
can be classified as invasive ductal carcinoma (IDC) or metastatic cancer. Early detection of …
Breast cancer prediction using Shapely and Game theory in Federated Learning environment
Y Supriya, R Chengoden - IEEE Access, 2024 - ieeexplore.ieee.org
Breast cancer is a critical health issue affecting the well-being of women. Breast cancer is
one of the most common causes of the increase in the mortality rate of women around the …
one of the most common causes of the increase in the mortality rate of women around the …
Hybrid feature-based invasive ductal carcinoma classification in breast histopathology images
V Snigdha, LS Nair - … Learning and Autonomous Systems: Proceedings of …, 2022 - Springer
Breast cancer appears to be the most dangerous disease infecting women. Invasive ductal
carcinoma is the most prevalent type of cancer that affects the breast. One in eight ladies …
carcinoma is the most prevalent type of cancer that affects the breast. One in eight ladies …
[PDF][PDF] Detection and Classification of Invasive Ductal Carcinoma using Artificial Intelligence
One of the most prevalent causes of death for women is breast cancer. An essential
component of treating invasive ductal carcinoma (IDC) is early identification and detection …
component of treating invasive ductal carcinoma (IDC) is early identification and detection …
Genetic hyperparameter optimization with Modified Scalable-Neighbourhood Component Analysis for breast cancer prognostication
S Alsubai, A Alqahtani, M Sha - Neural Networks, 2023 - Elsevier
Breast cancer is common among women resulting in mortality when left untreated. Early
detection is vital so that suitable treatment could assist cancer from spreading further and …
detection is vital so that suitable treatment could assist cancer from spreading further and …
An enhanced deep learning approach for breast cancer detection in histopathology images
M Ouf, Y Abdul-Hamid, A Mohammed - The International Conference on …, 2023 - Springer
Breast cancer is defined as abnormal cellular proliferation in the breast. The most common
kind of cancer that affects the breast and causes mortality in women is invasive ductal …
kind of cancer that affects the breast and causes mortality in women is invasive ductal …
Federated learning-based detection of invasive carcinoma of no special type with histopathological images
Invasive carcinoma of no special type (IC-NST) is known to be one of the most prevalent
kinds of breast cancer, hence the growing research interest in studying automated systems …
kinds of breast cancer, hence the growing research interest in studying automated systems …