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AI‐Based Segmentation of Wound Types Caused by Epidermolysis Bullosa

Experimental Dermatology, Volume 35, Issue 9, September 2026.
ABSTRACT Epidermolysis bullosa (EB) defines a group of rare, inherited and currently incurable genetic disorders characterized by excessive skin fragility, with blistering and wounding of skin and mucous membranes upon minor mechanical trauma. Accurate wound assessment is imperative for measuring and longitudinal monitoring of disease activity and for ...
Georg Wimmer +13 more
wiley +1 more source

Swin-cryoEM model acc,cls_Loss, and loss analysis.

Swin-cryoEM model acc,cls_Loss, and loss analysis.
JinLing Wang (18334331) +6 more
core +1 more source

Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model

IEEE Access
Accurate identification of wheat diseases is an essential component for increasing crop yields and guaranteeing global food security. However, subjective opinions, errors, and laborious procedures frequently limit traditional approaches, which are based ...
Waqar Khalid +3 more
doaj +1 more source

Architectural Scalability and Attention Stabilization for Robust Impulsive Acoustic Spectrogram Classification Using Swin Transformer V2

IEEE Access
Impulsive acoustic event classification based on spectrogram representations remains challenging due to the non-stationary and broadband characteristics of transient signals.
Pafan Doungpaisan, Peerapol Khunarsa
doaj +1 more source

Potato Plant Variety Identification Study Based on Improved Swin Transformer

Potato is one of the most important food crops in the world and occupies a crucial position in China’s agricultural development. Due to the large number of potato varieties and the phenomenon of variety mixing, the development of the potato ...
Chengzhong Liu +6 more
core +1 more source

Capsule-enhanced hierarchical vision transformers for rare disease classification from medical images

Scientific Reports
Automated medical image analysis plays a vital role in rare disease detection, yet existing deep learning models often struggle with severe class imbalance, limited labeled data, and subtle morphological variations.
E. S. Phalguna Krishna +5 more
doaj +1 more source

Efficient Waste Classification in Cisadane River Using Vision Transformer and Swin Transformer Architectures [PDF]

The increasing volume of waste in rivers has become a serious environmental problem. This study proposes the implementation of Artificial Intelligence (AI)-based models, specifically Vision Transformer (ViT) and Swin Transformer, for an automatic waste ...
Surahmat, Asep, Mutiarawan, Rezza Anugrah +1 more
core +1 more source

A novel attention-enhanced Swin Transformer for tire surface defect classification

Discover Computing
Tire surface defects are critical factors affecting driving safety, and traditional manual inspection methods suffer from low efficiency, strong subjectivity, and high missed detection rates.
Shanjiang Zhang, Jian Lian, Renjing Liu
doaj +1 more source

HEAL-SWIN: A Vision Transformer On The Sphere [PDF]

High-resolution wide-angle fisheye images are becoming more and more important for robotics applications such as autonomous driving. However, using ordinary convolutional neural networks or vision transformers on this data is problematic due to ...
Carlsson, Oscar +6 more
core +1 more source

Classification of Mobile-Based Oral Cancer Images Using the Vision Transformer and the Swin Transformer

Oral cancer, a pervasive and rapidly growing malignant disease, poses a significant global health concern. Early and accurate diagnosis is pivotal for improving patient outcomes.
Bofan Song +5 more
core +1 more source

deep learning
transformer
image classification

semantic segmentation
attention mechanism