Computer Aided Diagnosis
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 18173
Special Issue Editors
Interests: computer vision; image retrieval; biomedical image analysis; pattern recognition and machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; image processing; machine learning; deep learning; artificial intelligence; medical image analysis; biomedical image analysis
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; medical image analysis; shape analysis and matching; image retrieval and classification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue of the journal Applied Sciences, entitled “Computer Aided Diagnosis”, aims to present recent advances in the generation and utilization of features and machine learning techniques for biomedical image classification and retrieval. The recent advances of machine learning techniques, mostly based on deep learning, have significantly influenced the design and performance of computer aided diagnosis systems. Nowadays, deep features are often preferred to hand-crafted ones, but, at the same time, their complexity, and the poor interpretability of the extracted data, have not favoured its wide use in real applications. This Special Issue places particular attention on contributions dealing with practical applications, in which hand-crafted features still play a key role and achieve state-of-the-art performances, and where deep features are used in conjunction with specific methods for improving their interpretability.
All interested authors are invited to submit their newest results on biomedical image processing and analysis for possible publication in this Special Issue. All papers need to present original, previously unpublished work, and will be subject to the normal standards and peer-review processes of this journal. Potential topics include, but are not limited to:
Supervised segmentation;
Weakly-supervised segmentation;
Self-supervised segmentation;
Supervised detection;
Weakly-supervised detection;
Self-supervised detection;
Deep features for biomedical image classification;
Handcrafted features for biomedical image classification;
Medical image indexing and retrieval;
Medical image classification;
Computer-aided detection/diagnosis applications;
Machine learning and artificial intelligence in CAD.
Keywords
- Deep learning
- Machine learning
- Transfer learning
- Ensemble learning
- artificial intelligence
- image processing
- Medical image processing
- biomedical imaging
- image classification
- Convolutional Neural Networks
- CNN
- Neural Networks
- Image indexing
- Medical image retrieval
- Medical image classification
- Histology image analysis
- Blood image analysis
- Biomedical image classification
- Feature extraction
- Statistical methods
- Orthogonal moments
- Deep features for biomedical image classification
- Handcrafted features for biomedical image classification…
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