Deep learning-based object detection algorithms in medical imaging: Systematic review
Over the past decade, Deep Learning (DL) techniques have demonstrated remarkable advancements across various domains, driving their widespread adoption. Particularly in medical image analysis, DL received greater attention for tasks like image segmentation, object detection, and classification. This...
Saved in:
| Main Authors: | Carina Albuquerque, Roberto Henriques, Mauro Castelli |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S240584402417168X |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep Learning-Based Medical Object Detection: A Survey
by: Mohammadreza Saraei, et al.
Published: (2025-01-01) -
Clustering Visual Similar Objects for Enhanced Synthetic Image Data for Object Detection
by: Julian Rolf, et al.
Published: (2024-12-01) -
Medical education research study quality instrument: an objective instrument susceptible to subjectivity
by: Scott Jaros, et al.
Published: (2024-12-01) -
Analysis and Evaluation of China Annual Major Medical Innovation 2022: A Mix‐ Method Approach Study
by: Dongping Gao, et al.
Published: (2024-03-01) -
A survey of image object detection algorithm based on deep learning
by: Tingting ZHANG, et al.
Published: (2020-07-01)