Bio-Inspired Diagnostic Perception and Evidence Integration for Medical Image Analysis
A Special Issue of Biomimetics (ISSN 2313-7673) belonging to the section "Bioinspired Sensorics, Information Processing and Control".
Deadline for manuscript submissions: 1 March 2027 | Viewed by 44
Editor
Special Issue Information
Dear Colleagues,
Medical image analysis has advanced rapidly, yet a correct prediction does not necessarily mean that a model has relied on clinically relevant evidence. Biological vision deals with complex scenes by directing attention, separating relevant structures from background, combining complementary visual cues, revisiting uncertain interpretations, and adapting decisions when evidence is incomplete. These mechanisms offer useful principles for the design of medical image analysis systems. This Special Issue focuses on computational methods that transfer principles of biological perception and information processing to medical image analysis. Its central interest is how diagnostically relevant evidence is selected, combined, refined, and used in decision-making. Topics of interest include, but are not limited to, the following:
- Bio-inspired visual attention and saliency;
- Figure–ground organization and foreground-focused learning;
- Anatomical and lesion-guided perception;
- Expert-gaze-informed learning;
- Integration of shape, texture, intensity, contrast, and spatial cues;
- Hierarchical and multi-scale visual processing;
- Recurrent, feedback, and predictive processing;
- Biological models of evidence accumulation;
- Multimodal diagnostic evidence integration;
- Uncertainty-aware decision-making;
- Suppression of irrelevant contextual or acquisition-related information;
- Robustness to variations in imaging conditions and devices;
- Reduction of reliance on misleading visual cues;
- Interpretable and clinically meaningful evidence localization;
- Evaluation of the consistency and relevance of diagnostic evidence.
Dr. Ganbayar Batchuluun
Guest Editor
Manuscript Submission Information
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Keywords
- bio-inspired artificial intelligence
- medical image analysis
- biological vision
- diagnostic perception
- evidence integration
- visual attention
- multimodal fusion
- uncertainty-aware decision-making
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