[HTML][HTML] A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas

J Terven, DM Córdova-Esparza… - Machine Learning and …, 2023 - mdpi.com
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 …

Breast cancer detection using deep learning: Datasets, methods, and challenges ahead

RA Dar, M Rasool, A Assad - Computers in biology and medicine, 2022 - Elsevier
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 …

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 …

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 …

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 …

[HTML][HTML] A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images

CC Ukwuoma, Z Qin, MBB Heyat, F Akhtar… - Journal of Advanced …, 2023 - Elsevier
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 …

[HTML][HTML] Application of deep learning in breast cancer imaging

L Balkenende, J Teuwen, RM Mann - Seminars in Nuclear Medicine, 2022 - Elsevier
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 …

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 …

Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification

MA Al-Masni, DH Kim, TS Kim - Computer methods and programs in …, 2020 - Elsevier
Background and objective Computer automated diagnosis of various skin lesions through
medical dermoscopy images remains a challenging task. Methods In this work, we propose …

TTCNN: A breast cancer detection and classification towards computer-aided diagnosis using digital mammography in early stages

S Maqsood, R Damaševičius, R Maskeliūnas - Applied Sciences, 2022 - mdpi.com
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 …