Despite the remarkable advancements of deep learning methods in computer vision, automatic diagnosis of skin diseases still faces challenges such as limited data and class imbalance.
Research gap analysis derived from 3 computer_science papers in our local library.
The gap
Despite the remarkable advancements of deep learning methods in computer vision, automatic diagnosis of skin diseases still faces challenges such as limited data and class imbalance.
Consensus across the literature
Clustered from 3 gap mentions across 3 papers via embedding cosine ≥ 0.62.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Machine Learning and Medicine (2025) · doi
We will investigate deep learning methods for skin cancer early detection and prog- nosis in the future. We will investigate other multi-omic technologies in this area and investigate various skin cancers to further find out ways for early detection of diseases. Author Contributions: Conceptualization, E.Y.A. and A.Z.; methodology, E.Y.A., Z.D., A.H.M., Q.A., K.K. and A.Z.; software, E.Y.A. and A.H.M.; validation, E.Y.A., Z.D. and A.Z.; formal analysis, K.K. and A.Z.; investigation, Z.D., A.H.M. and A.Z.; resources, E.Y.A., Z.D., A.H.M. and K.K.; data curation, E.Y.A., Z.D., A.H.M., Q.A. and A.Z.; writing—original draft, E.Y.A., A.H.M., Q.A. and K.K.; writing—review and editing, Q.A. and K.K.; visualization, Q.A.; supervision, Z.D. All authors have read and agreed to the published version of the manuscript. Funding: This research received no external funding. Informed Consent Statement: Not applicable. Data Availability Statement: The data in this study can be provided upon request. Conflicts of Interest: The authors declare no conflicts of interest.
Keywords: investigate skin early detection writing authors funding statement icts interest deep learning cancer prog nosis - A GAN-Based Data Augmentation Method for Imbalanced Multi-Class Skin Lesion Classification (2024) · doi
Despite the remarkable advancements of deep learning methods in computer vision, automatic diagnosis of skin diseases still faces challenges such as limited data and class imbalance.
Keywords: despite remarkable advancements deep learning computer vision automatic diagnosis skin diseases still faces challenges limited - Enhanced Image Preprocessing and EfficientNet-Based Approach for Skin Disease (2026) · doi
The proposed system demonstrates that deep learning combined with effective preprocessing has tremendous potential for clinical decision support in dermatology, particularly in resource-limited settings where specialist access is scarce.
Keywords: proposed system demonstrates deep learning combined effective preprocessing tremendous potential clinical decision support dermatology particularly
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