Browse State-of-the-Art › Lesion Classification
Lesion Classification
57 papers with code · 0 benchmarks · 7 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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
7 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.
Most implemented papers archive 2025-07-28
30 shown of 57 papers with code (189 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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11 Jan 2024 2 repositories listedAccurate lesion classification in Wireless Capsule Endoscopy (WCE) images is vital for early diagnosis and treatment of gastrointestinal (GI) 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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1 Jul 2022 2 repositories listedMoreover, we learn video-level features to classify the breast lesions of the original video as benign or malignant lesions to further enhance the final breast lesion detection performance in ultrasound videos.
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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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6 Mar 2017 2 repositories listedThis report describes our submission to the ISIC 2017 Challenge in Skin Lesion Analysis Towards Melanoma Detection.
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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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15 Feb 2025 1 repository listedAccurate identification of focal liver lesions is essential for determining the appropriate therapeutic approach in clinical practice.
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2 Jan 2025 1 repository listedAdditionally, we conduct comprehensive experiments on both the generator and classifier, demonstrating the clinical relevance and effectiveness of ProjectedEx in enhancing interpretability and supporting the adoption of…
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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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27 Nov 2023 1 repository listedIn this paper, we propose a multiple high-order attention interaction model (MHA-UNet) for use in a highly explainable skin lesion segmentation task.
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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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18 Aug 2023 1 repository listedAddressing fairness in lesion classification from dermatological images is crucial due to variations in how skin diseases manifest across skin tones.
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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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23 Jun 2023 1 repository listedHowever, such networks are difficult to focus on lesion regions in chest X-rays due to their high resemblance in vision.
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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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3 Feb 2023 1 repository listedThen the multi-parameter fusion with attention module enables the interaction of the encoded information from different parameters through a set of algorithmic strategies, and applies different weights to the…
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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.
Syntology lines on 5 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