Skin Cancer Classification

Despite the rapid progress of deep neural networks in visual recognition, their adoption in high-risk medical applications remains limited due to reliability and robustness concerns. Models may exploit spurious correlati…

Skin Cancer Classification Contrastive Learning

Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification

2026-07-29 · Alexander Kozachok, Ilya Latyshev, Evgeny Karpulevich, Elena Kozachok 외 arxiv

Background/Objectives: Dermoscopic skin-lesion classifiers lose accuracy when images arrive from a new clinic or a new device. We asked which data augmentations reduce that loss, and measured the effect under a protocol …

Skin Cancer Classification Domain Generalization Data Augmentation

Geometry-Aware Superpixel Graph Transformer with Metadata for Skin Lesion Classification

2026-06-18 · Muhammad Azeem, Tanveer Hussain, Amr Ahmed, Ardhendu Behera arxiv

Automated skin cancer classification from dermoscopic images remains challenging due to heterogeneous lesion structure, strong intra-class variability, and subtle visual differences between benign and malignant cases. Ex…

Skin Lesion Classification Skin Cancer Classification Multimodal Reasoning Graph Learning

MedicalRec: Medical recommender system for image classification without retraining

2026-05-23 · Roghayeh Taghavi, Aysa Hasanazde Bashkandi, Amir Ali Bengari, Mohammad Amin Raji 외 arxiv

The emergence of machine learning and deep learning has revolutionized the efficiency of diagnostic, therapeutic, and administrative systems in healthcare. However, this rapid adoption has come at the cost of requiring s…

Medical Image Classification Skin Cancer Classification

A Generative AI Approach for Reducing Skin Tone Bias in Skin Cancer Classification

2026-02-16 · Areez Muhammed Shabu, Mohammad Samar Ansari, Asra Aslam arxiv

Skin cancer is one of the most common cancers worldwide and early detection is critical for effective treatment. However, current AI diagnostic tools are often trained on datasets dominated by lighter skin tones, leading…

Skin Cancer Classification Binary Classification Lesion Segmentation Data Augmentation

Impact of domain adaptation in deep learning for medical image classifications

2026-02-10 · Yihang Wu, Ahmad Chaddad arxiv

Domain adaptation (DA) is a quickly expanding area in machine learning that involves adjusting a model trained in one domain to perform well in another domain. While there have been notable progressions, the fundamental …

Skin Cancer Classification Classifier calibration Federated Learning Domain Adaptation

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