Dermatology

Latest AI and machine learning research in dermatology for healthcare professionals.

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Subcategories: Atopy Psoriasis
Showing 2206-2226 of 4,167 articles
Towards Clinically Interpretable Ophthalmic VQA via Spatially-Grounded Lesion Evidence

Visual Question Answering (VQA) holds great promise for clinical support, particularly in ophthalmol...

GLeVE: Graph-Guided Lesion Grounding with Proposal Verification in 3D CT

Grounding radiology report descriptions to 3D CT volumes is essential for verifiable clinical interp...

Climatic suitability for leishmaniasis at global and European scales

Leishmaniasis, a climate-sensitive zoonotic neglected tropical disease, is transmitted by Phlebotomi...

Predicting Distant Melanoma Metastasis at Diagnosis Using Machine Learning

Distant melanoma metastasis at the time of diagnosis is uncommon, but has major implications for pat...

DamageFormer: a damage-aware multimodal deep learning framework for DNA lesion identification from nanopore sequencing

Background: DNA lesions arise from endogenous metabolism and environmental exposure and are the majo...

Rad-VLSM: A Cross-Modal Framework with Semantics-Assisted Prompting for Medical Segmentation and Diagnosis

Medical image segmentation is more clinically valuable when it supports diagnosis rather than merely...

EpiReasoner: An Integrated Artificial Intelligence Framework for Phenotype-to-Genotype Reasoning in Plant Epidermal Development

Achieving high-throughput and precise phenotypic quantification and imaging modalities of stomatal a...

Pixel-Based Skin Tone Estimation on Dermoscopy: A Dual-Rater MST Benchmark and Feasibility Study

Skin-tone labels are absent from public dermoscopy benchmarks such as the International Skin Imaging...

Deep Learning for Cross-Domain Spatial Transcriptomic Modeling of Tissue Repair

Spatial transcriptomics enables investigation of tissue organization while preserving molecular and ...

DermAgent: A Self-Reflective Agentic System for Dermatological Image Analysis with Multi-Tool Reasoning and Traceable Decision-Making

Dermatological diagnosis requires integrating fine-grained visual perception with expert clinical kn...

A Mimetic Detector for Adversarial Image Perturbations

Adversarial attacks fool deep image classifiers by adding tiny, almost invisible noise patterns to a...

Dual-view Guided Context-aware Network for Automated Bone Lesion Segmentation and Quantification in Whole-body SPECT

Whole-body SPECT bone scintigraphy reflects skeletal metabolic activity throughout the body and play...

Structural brain networks shape individual-level progression of brain atrophy after stroke

Stroke starts as a focal vascular lesion, but its structural consequences often extend beyond the le...

LIME: a fully automated pipeline for high-throughput quantification of leaf lesions

Accurate quantification of leaf lesion severity is essential for plant disease research and phenotyp...

iTRIALSPACE: Programmable Virtual Lesion Trials for Controlled Evaluation of Lung CT Models

We introduce iTRIALSPACE, a programmable evaluation framework for controlled assessment of lung CT m...

The autoPET3 Challenge -- Automated Lesion Segmentation in Whole-Body PET/CT - Multitracer Multicenter Generalization

We report the design and results of the third autoPET challenge (MICCAI 2024), which benchmarked aut...

JI-ADF: Joint-Individual Learning with Adaptive Decision Fusion for Multimodal Skin Lesion Classification

Skin lesion classification is essential for early dermatological diagnosis, yet many existing comput...

UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation

Accurate lesion segmentation is crucial for clinical diagnosis and treatment planning. However, lesi...

A Hybrid Framework for Accurate Melanoma Diagnosis: Leveraging Generative AI with Enhanced CNN+ Architectures

Melanocytes become cancerous, forming tumors that may invade and destroy the surrounding tissues. Wh...

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