Cover Image

AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Du, Siyi, Bayasi, Nourhan, Hamarneh, Ghassan, Garbi, Rafeef
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets
by: Du, Siyi, et al.
Published: (2023)

Debiasify: Self-Distillation for Unsupervised Bias Mitigation
by: Bayasi, Nourhan, et al.
Published: (2024)

BiasPruner: Debiased Continual Learning for Medical Image Classification
by: Bayasi, Nourhan, et al.
Published: (2024)

Segmentation Style Discovery: Application to Skin Lesion Images
by: Abhishek, Kumar, et al.
Published: (2024)

Lesion Elevation Prediction from Skin Images Improves Diagnosis
by: Abhishek, Kumar, et al.
Published: (2024)

What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation?
by: Abhishek, Kumar, et al.
Published: (2025)

Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
by: Abhishek, Kumar, et al.
Published: (2026)

LesionGen: A Concept-Guided Diffusion Model for Dermatology Image Synthesis
by: Fayyad, Jamil, et al.
Published: (2025)

Multi-Kernel Gated Decoder Adapters for Robust Multi-Task Thyroid Ultrasound under Cross-Center Shift
by: Sabouri, Maziar, et al.
Published: (2026)

Foundation Models as Class-Incremental Learners for Dermatological Image Classification
by: Elkhayat, Mohamed, et al.
Published: (2025)

Disentangled PET Lesion Segmentation
by: Gatsak, Tanya, et al.
Published: (2024)

Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets
by: Abhishek, Kumar, et al.
Published: (2024)

$TrIND$: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields
by: Sinha, Ashish, et al.
Published: (2024)

Representation-Level Adversarial Regularization for Clinically Aligned Multitask Thyroid Ultrasound Assessment
by: Salama, Dina, et al.
Published: (2026)

FiGO: Fine-Grained Object Counting without Annotations
by: D'Alessandro, Adriano, et al.
Published: (2025)

AFreeCA: Annotation-Free Counting for All
by: D'Alessandro, Adriano, et al.
Published: (2024)

SMITE: Segment Me In TimE
by: Alimohammadi, Amirhossein, et al.
Published: (2024)

AViLA: Asynchronous Vision-Language Agent for Streaming Multimodal Data Interaction
by: Zhang, Gengyuan, et al.
Published: (2025)

AViTMP: A Tracking-Specific Transformer for Single-Branch Visual Tracking
by: Tang, Chuanming, et al.
Published: (2023)

SLiMe: Segment Like Me
by: Khani, Aliasghar, et al.
Published: (2023)

Conformal-in-the-Loop for Learning with Imbalanced Noisy Data
by: Graham-Knight, John Brandon, et al.
Published: (2024)

Scale-Aware Self-Supervised Learning for Segmentation of Small and Sparse Structures
by: Quesada, Jorge, et al.
Published: (2026)

(De)Constructing Bias on Skin Lesion Datasets
by: Bissoto, Alceu, et al.
Published: (2019)

Skin Cancer Detection utilizing Deep Learning: Classification of Skin Lesion Images using a Vision Transformer
by: Flosdorf, Carolin, et al.
Published: (2024)

SkinFormer: Learning Statistical Texture Representation with Transformer for Skin Lesion Segmentation
by: Xu, Rongtao, et al.
Published: (2024)

Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation
by: Liu, Xuanyu, et al.
Published: (2025)

Exploring the Impact of Skin Color on Skin Lesion Segmentation
by: Paxton, Kuniko, et al.
Published: (2026)

Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation
by: Tiwari, Siddharth
Published: (2024)

Adapting Vision Transformers to Ultra-High Resolution Semantic Segmentation with Relay Tokens
by: Perron, Yohann, et al.
Published: (2026)

Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions
by: Bi, Lei, et al.
Published: (2024)

Deep Skin Lesion Segmentation with Transformer-CNN Fusion: Toward Intelligent Skin Cancer Analysis
by: Wang, Xin, et al.
Published: (2025)

Segmenting Small Stroke Lesions with Novel Labeling Strategies
by: Shang, Liang, et al.
Published: (2024)

TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation
by: Iqbal, Shahzaib, et al.
Published: (2024)

Deep Semantic Segmentation of Natural and Medical Images: A Review
by: Taghanaki, Saeid Asgari, et al.
Published: (2019)

Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets
by: Zhang, Tianxiao, et al.
Published: (2024)

Adapting LLaMA Decoder to Vision Transformer
by: Wang, Jiahao, et al.
Published: (2024)

{S$^3$-Mamba}: Small-Size-Sensitive Mamba for Lesion Segmentation
by: Wang, Gui, et al.
Published: (2024)

LesionTABE: Equitable AI for Skin Lesion Detection
by: Diaz, Rocio Mexia, et al.
Published: (2026)

UltraLBM-UNet: Ultralight Bidirectional Mamba-based Model for Skin Lesion Segmentation
by: Fan, Linxuan, et al.
Published: (2025)

Learning to Adapt to Position Bias in Vision Transformer Classifiers
by: Bruintjes, Robert-Jan, et al.
Published: (2025)