ArticleDiagnostics (Basel, Switzerland)2025
Skin Cancer Detection Using Transfer Learning and Deep Attention Mechanisms.
Article in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- An Adaptive Attention-Driven Quadruplet Deep Hashing Method for Retrieving Histopathological Images.Journal of imaging · 2026Article
- A robust stacked ensemble strategy with multi-optimizer CNN models for skin cancer classification.Scientific reports · 2026Article
- Multimodal Deep Learning with Attention-Based Fusion for Skin Cancer Diagnosis.Bioengineering (Basel, Switzerland) · 2026Article
- Hyperparameter Optimization of Convolutional Neural Networks for Robust Tumor Image Classification.Diagnostics (Basel, Switzerland) · 2026Article
- LGGC-Net: a local-global graph and color attention-based lightweight CNN for skin cancer classification.Scientific reports · 2026Article
- Explainable and secure federated learning for privacy-enhancing skin cancer classification using a lightweight multi-scale CNN.Scientific reports · 2026Article
- OFS: on fused SAMI filtered handcraft and DSRSENet features for enhanced skin malignancy detection.Frontiers in artificial intelligence · 2026Article
- An optimal graph convolutional vision neural network with explainable feature optimization for improved skin cancer detection.BMC medical imaging · 2025Article
- Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques.Scientific reports · 2025Article
- Enhancing skin lesion classification: a CNN approach with human baseline comparison.PeerJ. Computer science · 2025Article
- Artificial intelligence in modern clinical practice (Review).Medicine internationalReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What Socratic 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 Socratic graph.