mlsanityData to 14 Oct 2026

Deteccc~ao da Psor'iase Utilizando Vis~ao Computacional: Uma Abordagem Comparativa Entre CNNs e Vision Transformers

arXiv 2506.10119 ↗First posted 11 Jun 2025cs.CV cs.AI cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

This paper presents a comparison of the performance of Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) in the task of multi-classifying images containing lesions of psoriasis and diseases similar to it. Models pre-trained on ImageNet were adapted to a specific data set. Both achieved high predictive metrics, but the ViTs stood out for their superior performance with smaller models. Dual Attention Vision Transformer-Base (DaViT-B) obtained the best results, with an f1-score of 96.4%, and is recommended as the most efficient architecture for automated psoriasis detection. This article reinforces the potential of ViTs for medical image classification tasks.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 40 references that are in the map. First posted on arXiv 11 Jun 2025.

Builds on

14 of 40 references.

References · 14

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  3. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  4. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  5. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  6. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,974
  7. 2016Densely Connected Convolutional Networkscited by 6,720
  8. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,475
  9. 2024Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextcited by 3,224
  10. 2016Xception: Deep Learning with Depthwise Separable Convolutionscited by 2,332
  11. 2021EfficientNetV2: Smaller Models and Faster Trainingcited by 1,135
  12. 2022MaxViT: Multi-Axis Vision Transformercited by 476
2 more
  1. 2022DaViT: Dual Attention Vision Transformerscited by 175
  2. 2024Enhancing Skin Disease Classification Leveraging Transformer-based Deep Learning Architectures and Explainable AIcited by 1

Built on by

Not cited yet.