[HTML][HTML] On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
Perspective of point-of-care sensing system in cancer management
Globally, the number of cancer cases is rising, with no difference between rich and
undeveloped countries. Although affluent nations have made great improvements in the …
undeveloped countries. Although affluent nations have made great improvements in the …
[HTML][HTML] Deep learning in different ultrasound methods for breast cancer, from diagnosis to prognosis: current trends, challenges, and an analysis
Simple Summary Breast cancer is one of the leading causes of cancer death among women.
Ultrasound is a harmless imaging modality used to help make decisions about who should …
Ultrasound is a harmless imaging modality used to help make decisions about who should …
A hybrid dependable deep feature extraction and ensemble-based machine learning approach for breast cancer detection
Breast cancer is a prevalent and life-threatening disease that requires effective detection
and diagnosis methods to improve patient outcomes. Deep learning (DL) and machine …
and diagnosis methods to improve patient outcomes. Deep learning (DL) and machine …
[HTML][HTML] A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data
Breast cancer is considered one of the significant health challenges and ranks among the
most prevalent and dangerous cancer types affecting women globally. Early breast cancer …
most prevalent and dangerous cancer types affecting women globally. Early breast cancer …
[HTML][HTML] Enhancing skin cancer detection and classification in dermoscopic images through concatenated MobileNetV2 and xception models
RO Ogundokun, A Li, RS Babatunde, C Umezuruike… - Bioengineering, 2023 - mdpi.com
One of the most promising research initiatives in the healthcare field is focused on the rising
incidence of skin cancer worldwide and improving early discovery methods for the disease …
incidence of skin cancer worldwide and improving early discovery methods for the disease …
[HTML][HTML] SNSVM: SqueezeNet-guided SVM for breast cancer diagnosis
Breast cancer is a major public health concern that affects women worldwide. It is a leading
cause of cancer-related deaths among women, and early detection is crucial for successful …
cause of cancer-related deaths among women, and early detection is crucial for successful …
[HTML][HTML] Human posture detection using image augmentation and hyperparameter-optimized transfer learning algorithms
With the advancement in pose estimation techniques, human posture detection recently
received considerable attention in many applications, including ergonomics and healthcare …
received considerable attention in many applications, including ergonomics and healthcare …
[HTML][HTML] Effective handling of missing values in datasets for classification using machine learning methods
A Palanivinayagam, R Damaševičius - Information, 2023 - mdpi.com
The existence of missing values reduces the amount of knowledge learned by the machine
learning models in the training stage thus affecting the classification accuracy negatively. To …
learning models in the training stage thus affecting the classification accuracy negatively. To …
[HTML][HTML] A secure internet of medical things framework for breast cancer detection in sustainable smart cities
Computational intelligence (CI) and artificial intelligence (AI) have incredible roles to play in
the development of smart and sustainable healthcare systems by facilitating the integration …
the development of smart and sustainable healthcare systems by facilitating the integration …