[HTML][HTML] A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas
YOLO has become a central real-time object detection system for robotics, driverless cars,
and video monitoring applications. We present a comprehensive analysis of YOLO's …
and video monitoring applications. We present a comprehensive analysis of YOLO's …
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
EH Houssein, MM Emam, AA Ali… - Expert Systems with …, 2021 - Elsevier
Breast cancer is the second leading cause of death for women, so accurate early detection
can help decrease breast cancer mortality rates. Computer-aided detection allows …
can help decrease breast cancer mortality rates. Computer-aided detection allows …
An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm
EH Houssein, MM Emam, AA Ali - Neural Computing and Applications, 2022 - Springer
Breast cancer is the second leading cause of death in women; therefore, effective early
detection of this cancer can reduce its mortality rate. Breast cancer detection and …
detection of this cancer can reduce its mortality rate. Breast cancer detection and …
Using X-ray images and deep learning for automated detection of coronavirus disease
K El Asnaoui, Y Chawki - Journal of Biomolecular Structure and …, 2021 - Taylor & Francis
Coronavirus is still the leading cause of death worldwide. There are a set number of COVID-
19 test units accessible in emergency clinics because of the expanding cases daily …
19 test units accessible in emergency clinics because of the expanding cases daily …
A transfer learning method with deep residual network for pediatric pneumonia diagnosis
G Liang, L Zheng - Computer methods and programs in biomedicine, 2020 - Elsevier
Abstract Background and Objective Computer aided diagnosis systems based on deep
learning and medical imaging is increasingly becoming research hotspots. At the moment …
learning and medical imaging is increasingly becoming research hotspots. At the moment …
[HTML][HTML] A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images
Introduction Pneumonia is a microorganism infection that causes chronic inflammation of the
human lung cells. Chest X-ray imaging is the most well-known screening approach used for …
human lung cells. Chest X-ray imaging is the most well-known screening approach used for …
Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification
Background and objective Computer automated diagnosis of various skin lesions through
medical dermoscopy images remains a challenging task. Methods In this work, we propose …
medical dermoscopy images remains a challenging task. Methods In this work, we propose …
[HTML][HTML] Application of deep learning in breast cancer imaging
This review gives an overview of the current state of deep learning research in breast cancer
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …
TTCNN: A breast cancer detection and classification towards computer-aided diagnosis using digital mammography in early stages
Breast cancer is a major research area in the medical image analysis field; it is a dangerous
disease and a major cause of death among women. Early and accurate diagnosis of breast …
disease and a major cause of death among women. Early and accurate diagnosis of breast …