ArticleDiagnostics (Basel, Switzerland)2024
Hybrid Deep Learning Framework for Melanoma Diagnosis Using Dermoscopic Medical Images.
Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- TriDermCancerNet: A hybrid deep learning framework for skin cancer classification.The Journal of international medical research · 2026Article
- Application of transformer models in medical image segmentation: a narrative review.Quantitative imaging in medicine and surgery · 2026Review
- Hybrid diagnostic framework for bone cancer detection using deep learning and radiomics analysis.Scientific reports · 2026Article
- Smart medical system integrating clinical workflows for robust skin cancer detection across heterogeneous pathologies.Scientific reports · 2026Article
- An Optimal Deep Hybrid Framework with Selective Kernel U-Net for Skin Lesion Detection and Classification.Bioengineering (Basel, Switzerland) · 2026Article
- Explainable depth-wise and channel-wise fusion models for multi-class skin lesion classification.PloS one · 2026Article
- Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques.Scientific reports · 2025Article
- [SG-UNet: a melanoma segmentation model enhanced with global attention and self-calibrated convolution].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025Article
- SkinEHDLF a hybrid deep learning approach for accurate skin cancer classification in complex systems.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.