Special Issue "Advances of Deep Learning in Medical Image Interpretation"
Deadline for manuscript submissions: 20 March 2023 | Viewed by 5064
Interests: computer-aided detection and diagnosis; computer vision; medical image analysis; abdominal imaging; cancer detectionpervised learning
Special Issues, Collections and Topics in MDPI journals
Special Issue in Journal of Imaging: Imaging Informatics: Computer-Aided Diagnosis
Deep learning has shown revolutionary progress in various aspects of medical image interpretation, propelling computer-aided diagnosis forward at a rapid pace. Deep learning excels at identifying and localizing intricate patterns from images and providing quantifiable assessments through image analysis. There is no doubt that the impact of deep learning on medical imaging will be tremendous. In the future, many medical images will reach physicians along with an interpretation provided by deep learning.
Medical images possess unique characteristics compared to photographic images, which provide both opportunities and challenges for applying deep learning to disease diagnosis and prognosis. Medical images contain quantitative imaging characteristics (e.g., the intensity scale and physical size of pixels) that can be used as valuable information to enhance deep learning performance. Medical images also present qualitative imaging characteristics (e.g., consistent and predictable anatomical structures with dimensional details) that can provide an excellent opportunity for algorithm development. Meanwhile, several characteristics unique to medical images create new challenges (e.g., isolated, discrepant data and partial, noisy labels) that must be addressed through additional investigation.
This Special Issue is to address significant challenges to deep learning adoption in medical image analysis. We are looking for methodological advancements in exploiting the unique characteristics of medical images, covering image modalities of radiology, cardiology, pathology, dermatology, etc.
Dr. Zongwei Zhou
Prof. Dr. Tianming Liu
Manuscript Submission Information
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- applications of medical imaging
- image segmentation, registration, and fusion
- representation learning, feature extraction
- image reconstruction, image enhancement
- microscopy image analysis
- machine learning, deep learning
- computer-aided diagnosis
- image-guided interventions and surgery