Deep learning in breast cancer imaging: A decade of progress and future directions
Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …
[HTML][HTML] The YOLO framework: A comprehensive review of evolution, applications, and benchmarks in object detection
This paper provides a comprehensive review of the YOLO (You Only Look Once) framework
up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has …
up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has …
A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)
YOLO (You Only Look Once) is an extensively utilized object detection algorithm that has
found applications in various medical object detection tasks. This has been accompanied by …
found applications in various medical object detection tasks. This has been accompanied by …
CNN-Wavelet scattering textural feature fusion for classifying breast tissue in mammograms
Visual interpretation from radiologists employs computer-aided diagnosis (CAD) to make
clinical diagnoses by analyzing breast tissue images and assessing their texture. Aside from …
clinical diagnoses by analyzing breast tissue images and assessing their texture. Aside from …
[PDF][PDF] A comprehensive systematic review of yolo for medical object detection (2018 to 2023)
ABSTRACT You Only Look Once (YOLO) is a popular object detection algorithm that has
been applied to a variety of medical object detection tasks. A systematic search was …
been applied to a variety of medical object detection tasks. A systematic search was …
Multimodal breast cancer hybrid explainable computer-aided diagnosis using medical mammograms and ultrasound Images
Breast cancer is a prevalent global disease where early detection is crucial for effective
treatment and reducing mortality rates. To address this challenge, a novel Computer-Aided …
treatment and reducing mortality rates. To address this challenge, a novel Computer-Aided …
Hybrid segmentation and 3D Imaging: Comprehensive framework for breast cancer patient segmentation and classification based on digital breast tomosynthesis
WM Idress, KA Abouda, R Javed, M Aoun… - … Signal Processing and …, 2025 - Elsevier
Breast cancer is among the deadliest conditions and the second-leading reason for cancer
mortality in women. Breast cells begin to develop into malignant, cancerous tumors, which is …
mortality in women. Breast cells begin to develop into malignant, cancerous tumors, which is …
Enhancement technique based on the breast density level for mammogram for computer-aided diagnosis
Mass detection in mammograms has a limited approach to the presence of a mass in
overlapping denser fibroglandular breast regions. In addition, various breast density levels …
overlapping denser fibroglandular breast regions. In addition, various breast density levels …
A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms
D COŞKUN, D KARABOĞA… - Turkish Journal of …, 2023 - journals.tubitak.gov.tr
Breast cancer is a prevalent form of cancer across the globe, and if it is not diagnosed at an
early stage it can be life-threatening. In order to aid in its diagnosis, detection, and …
early stage it can be life-threatening. In order to aid in its diagnosis, detection, and …
[HTML][HTML] DRBD-YOLOv8: A Lightweight and Efficient Anti-UAV Detection Model
P Jiang, X Yang, Y Wan, T Zeng, M Nie, Z Liu - Sensors, 2024 - mdpi.com
Interest in anti-UAV detection systems has increased due to growing concerns about the
security and privacy issues associated with unmanned aerial vehicles (UAVs). Achieving …
security and privacy issues associated with unmanned aerial vehicles (UAVs). Achieving …