Machine Learning Empowering Personalized Medicine: A Comprehensive Review of Medical Image Analysis Methods
Artificial intelligence (AI) advancements, especially deep learning, have significantly improved medical image processing and analysis in various tasks such as disease detection, classification, and anatomical structure segmentation. This work overviews fundamental concepts, state-of-the-art models,...
Main Authors: | Irena Galić, Marija Habijan, Hrvoje Leventić, Krešimir Romić |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/21/4411 |
Similar Items
-
Training on Polar Image Transformations Improves Biomedical Image Segmentation
by: Marin Bencevic, et al.
Published: (2021-01-01) -
AB-ResUNet+: Improving Multiple Cardiovascular Structure Segmentation from Computed Tomography Angiography Images
by: Marija Habijan, et al.
Published: (2022-03-01) -
Whole Heart Segmentation Using 3D FM-Pre-ResNet Encoder–Decoder Based Architecture with Variational Autoencoder Regularization
by: Marija Habijan, et al.
Published: (2021-04-01) -
A Machine-Learning-Based Medical Imaging Fast Recognition of Injury Mechanism for Athletes of Winter Sports
by: Peihua Liu, et al.
Published: (2022-03-01) -
Affine with B-Spline Registration based Retrieval using Distance Metrics
by: Swarnambiga AYYACHAMY
Published: (2014-06-01)