Browse State-of-the-Art › Skin Lesion Classification
Skin Lesion Classification
42 papers with code · 2 benchmarks · 8 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| PAD-UFES-20 (3 rows) | LiwTERM model | LiwTERM: A Lightweight Transformer-Based Model for Dermatological... | code | — | Compare |
| ISIC 2019 (2 rows) | Ensemble | Analysis of skin lesion images with deep learning | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
8 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 42 papers with code (130 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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2 Dec 2021 3 repositories listed Syntology ran 2 of 2 samples · 0 unverifiedHowever, designing a unified BA method that can be applied to various MIA systems is challenging due to the diversity of imaging modalities (e.
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30 Jan 2019 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)In this paper, we studied extensively on different deep learning based methods to detect melanoma and skin lesion cancers.
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22 Aug 2022 2 repositories listedDeep learning models have achieved great success in automating skin lesion diagnosis.
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10 Mar 2022 2 repositories listedFurthermore, in the case of brain tumor classification, our method outperforms the model trained on the superior modality while producing comparable results to the model that uses both modalities during inference.
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6 Feb 2022 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)Convolutional Neural Networks have demonstrated human-level performance in the classification of melanoma and other skin lesions, but evident performance disparities between differing skin tones should be addressed…
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23 Feb 2025 1 repository listedWe can achieve fast and consistent early skin cancer detection with recent developments in computer vision and deep learning techniques.
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13 Dec 2024 1 repository listedThis study introduces the Cascaded Atrous Group Attention (CAGA) framework to address these challenges, combining the Cascaded Atrous Attention module and the Cascaded Group Attention mechanism.
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18 Oct 2024 1 repository listedThus, this project aims to contribute to developing multimodal machine learning-based models to cope with the skin lesion classification task employing a lightweight transformer model.
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17 Jul 2024 1 repository listedLimited training data and severe class imbalance pose significant challenges to developing clinically robust deep learning models.
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11 Jul 2024 1 repository listedUtilizing a new bias score that measures the contribution of each unit in the network to learning spurious features, BiasPruner prunes those units with the highest bias scores to form a debiased subnetwork preserved for…
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24 Nov 2023 1 repository listedConcept-based models naturally lend themselves to the development of inherently interpretable skin lesion diagnosis, as medical experts make decisions based on a set of visual patterns of the lesion.
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28 Oct 2023 1 repository listedThe clinical diagnosis of skin lesion involves the analysis of dermoscopic and clinical modalities.
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31 Aug 2023 1 repository listedThis paper challenges this assumption and introduces FedPDA, a novel adaptation framework that brings the utility of learning from remote data from Federated Learning into PDA.
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16 Aug 2023 1 repository listedBy adding classification heads at each level of the transformer and employing a cascading distillation process, we improve the balanced multi-class accuracy of the base model by 2.
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9 Jul 2023 1 repository listedIn this paper, we propose class-Enhancement Contrastive Learning (ECL), which enriches the information of minority classes and treats different classes equally.
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27 May 2023 1 repository listedRepresentational transfer from publicly available models is a promising technique for improving medical image classification, especially in long-tailed datasets with rare diseases.
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1 May 2023 1 repository listedTo overcome this, we propose federated classifier anchoring (FCA) by adding a personalized classifier at each client to guide and debias the federated model through consistency learning.
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1 May 2023 1 repository listed Syntology ran 1 of 8 samples · 7 unverifiedDeep neural networks often rely on spurious correlations to make predictions, which hinders generalization beyond training environments.
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10 Apr 2023 1 repository listedEarly detection of melanoma is crucial for preventing severe complications and increasing the chances of successful treatment.
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19 Mar 2023 1 repository listedHowever, while a substantial amount of diffusion-based research has focused on generative tasks, few studies have applied diffusion models to general medical image classification.
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18 Nov 2022 1 repository listed Syntology ran 8 of 12 samples · 4 unverified · 12 pointer-only (licence)Model pruning can enable the deployment of neural networks in environments with resource constraints.
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10 Oct 2022 1 repository listedTo generalize to such test data, it is crucial for individual tasks to leverage knowledge from related tasks.
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29 Aug 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)While deep learning based approaches have demonstrated expert-level performance in dermatological diagnosis tasks, they have also been shown to exhibit biases toward certain demographic attributes, particularly skin…
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30 Jun 2022 1 repository listedThrough this approach, 1) First, we target the mixup amongst middle and tail classes to address the long-tail problem.
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13 Jun 2022 1 repository listed Syntology ran 0 of 8 samples · 8 unverifiedInterestingly, despite deep feature extractors being inclined towards learning entangled features for skin lesion classification, individual features can still be decoded from this entangled representation.
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22 Mar 2022 1 repository listedIn this case, knowledge distillation (KD) has been proven as an efficient tool to help improve the adaptability of lightweight models under limited resources, meanwhile keeping a high-level representation capability.
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9 Sep 2021 1 repository listedDeep learning has the potential to automate many clinically useful tasks in medical imaging.
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27 Jul 2021 1 repository listedIn this paper we first analyse the correlations between the annotations and the diagnostic label of the lesion, as well as study the agreement between different annotation sources.
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5 Mar 2021 1 repository listedWith few annotated data, FedPerl is on par with a state-of-the-art method in skin lesion classification in the standard setup while outperforming SSFLs and the baselines by 1.
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2 Feb 2021 1 repository listedThis paper proposes a novel single-model based strategy for classification of skin lesions on small and imbalanced datasets.
Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections