Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets
Fuente:
arXiv
Saved in:
| Main Authors: | Abhishek, Kumar, Jain, Aditi, Hamarneh, Ghassan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets
by: Amangeldi, Aidar, et al.
Published: (2025)
by: Amangeldi, Aidar, et al.
Published: (2025)
Improving Diagnostic Accuracy of Pigmented Skin Lesions With CNNs: an Application on the DermaMNIST Dataset
by: Kadric, Nerma, et al.
Published: (2025)
by: Kadric, Nerma, et al.
Published: (2025)
Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
by: Abhishek, Kumar, et al.
Published: (2026)
by: Abhishek, Kumar, et al.
Published: (2026)
What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation?
by: Abhishek, Kumar, et al.
Published: (2025)
by: Abhishek, Kumar, et al.
Published: (2025)
Lesion Elevation Prediction from Skin Images Improves Diagnosis
by: Abhishek, Kumar, et al.
Published: (2024)
by: Abhishek, Kumar, et al.
Published: (2024)
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images
by: Sinha, Ashish, et al.
Published: (2023)
by: Sinha, Ashish, et al.
Published: (2023)
Segmentation Style Discovery: Application to Skin Lesion Images
by: Abhishek, Kumar, et al.
Published: (2024)
by: Abhishek, Kumar, et al.
Published: (2024)
Deep Semantic Segmentation of Natural and Medical Images: A Review
by: Taghanaki, Saeid Asgari, et al.
Published: (2019)
by: Taghanaki, Saeid Asgari, et al.
Published: (2019)
Disentangled PET Lesion Segmentation
by: Gatsak, Tanya, et al.
Published: (2024)
by: Gatsak, Tanya, et al.
Published: (2024)
Debiasify: Self-Distillation for Unsupervised Bias Mitigation
by: Bayasi, Nourhan, et al.
Published: (2024)
by: Bayasi, Nourhan, et al.
Published: (2024)
SLiMe: Segment Like Me
by: Khani, Aliasghar, et al.
Published: (2023)
by: Khani, Aliasghar, et al.
Published: (2023)
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets
by: Du, Siyi, et al.
Published: (2023)
by: Du, Siyi, et al.
Published: (2023)
DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets
by: Yilmaz, Abdurrahim, et al.
Published: (2025)
by: Yilmaz, Abdurrahim, et al.
Published: (2025)
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets
by: Du, Siyi, et al.
Published: (2023)
by: Du, Siyi, et al.
Published: (2023)
MNIST-Gen: A Modular MNIST-Style Dataset Generation Using Hierarchical Semantics, Reinforcement Learning, and Category Theory
by: Shaeri, Pouya, et al.
Published: (2025)
by: Shaeri, Pouya, et al.
Published: (2025)
DermaVQA-DAS: Dermatology Assessment Schema (DAS) & Datasets for Closed-Ended Question Answering & Segmentation in Patient-Generated Dermatology Images
by: Yim, Wen-wai, et al.
Published: (2025)
by: Yim, Wen-wai, et al.
Published: (2025)
$TrIND$: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields
by: Sinha, Ashish, et al.
Published: (2024)
by: Sinha, Ashish, et al.
Published: (2024)
Comparative Analysis of CNN Performance in Keras, PyTorch and JAX on PathMNIST
by: Nezović, Anida, et al.
Published: (2025)
by: Nezović, Anida, et al.
Published: (2025)
DermaBench: A Clinician-Annotated Benchmark Dataset for Dermatology Visual Question Answering and Reasoning
by: Yilmaz, Abdurrahim, et al.
Published: (2026)
by: Yilmaz, Abdurrahim, et al.
Published: (2026)
Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review
by: Bbouzidi, Sonia, et al.
Published: (2024)
by: Bbouzidi, Sonia, et al.
Published: (2024)
From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
by: Brändle, Sven, et al.
Published: (2025)
by: Brändle, Sven, et al.
Published: (2025)
DermaCon-IN: A Multi-concept Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research
by: Madarkar, Shanawaj S, et al.
Published: (2025)
by: Madarkar, Shanawaj S, et al.
Published: (2025)
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity
by: Joshi, Siddharth, et al.
Published: (2024)
by: Joshi, Siddharth, et al.
Published: (2024)
Perceptual Quality-based Model Training under Annotator Label Uncertainty
by: Zhou, Chen, et al.
Published: (2024)
by: Zhou, Chen, et al.
Published: (2024)
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
by: Prabhushankar, Mohit, et al.
Published: (2024)
by: Prabhushankar, Mohit, et al.
Published: (2024)
MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization
by: Yarici, Yavuz, et al.
Published: (2026)
by: Yarici, Yavuz, et al.
Published: (2026)
Rethinking model prototyping through the MedMNIST+ dataset collection
by: Doerrich, Sebastian, et al.
Published: (2024)
by: Doerrich, Sebastian, et al.
Published: (2024)
AFreeCA: Annotation-Free Counting for All
by: D'Alessandro, Adriano, et al.
Published: (2024)
by: D'Alessandro, Adriano, et al.
Published: (2024)
FiGO: Fine-Grained Object Counting without Annotations
by: D'Alessandro, Adriano, et al.
Published: (2025)
by: D'Alessandro, Adriano, et al.
Published: (2025)
Targeting Negative Flips in Active Learning using Validation Sets
by: Benkert, Ryan, et al.
Published: (2024)
by: Benkert, Ryan, et al.
Published: (2024)
Information Router for Mitigating Modality Dominance in Vision-Language Models
by: Kim, Seulgi, et al.
Published: (2026)
by: Kim, Seulgi, et al.
Published: (2026)
A Hybrid Multi-Well Hopfield-CNN with Feature Extraction and K-Means for MNIST Classification
by: Farooq, Ahmed
Published: (2025)
by: Farooq, Ahmed
Published: (2025)
PDEInvBench: A Comprehensive Dataset and Design Space Exploration of Neural Networks for PDE Inverse Problems
by: Goel, Divyam, et al.
Published: (2026)
by: Goel, Divyam, et al.
Published: (2026)
T-QPM: Enabling Temporal Out-Of-Distribution Detection and Domain Generalization for Vision-Language Models in Open-World
by: Naiknaware, Aditi, et al.
Published: (2026)
by: Naiknaware, Aditi, et al.
Published: (2026)
Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks using Hyperparameter Tuning
by: Zimmer, Pascal, et al.
Published: (2025)
by: Zimmer, Pascal, et al.
Published: (2025)
DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets
by: Mazumder, Alokendu, et al.
Published: (2023)
by: Mazumder, Alokendu, et al.
Published: (2023)
Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis
by: Chowdhury, Prithwijit, et al.
Published: (2024)
by: Chowdhury, Prithwijit, et al.
Published: (2024)
Countering Multi-modal Representation Collapse through Rank-targeted Fusion
by: Kim, Seulgi, et al.
Published: (2025)
by: Kim, Seulgi, et al.
Published: (2025)
Multi-level and Multi-modal Action Anticipation
by: Kim, Seulgi, et al.
Published: (2025)
by: Kim, Seulgi, et al.
Published: (2025)
Subject Invariant Contrastive Learning for Human Activity Recognition
by: Yarici, Yavuz, et al.
Published: (2025)
by: Yarici, Yavuz, et al.
Published: (2025)
Similar Items
-
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets
by: Amangeldi, Aidar, et al.
Published: (2025) -
Improving Diagnostic Accuracy of Pigmented Skin Lesions With CNNs: an Application on the DermaMNIST Dataset
by: Kadric, Nerma, et al.
Published: (2025) -
Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
by: Abhishek, Kumar, et al.
Published: (2026) -
What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation?
by: Abhishek, Kumar, et al.
Published: (2025) -
Lesion Elevation Prediction from Skin Images Improves Diagnosis
by: Abhishek, Kumar, et al.
Published: (2024)