Skin Lesion Analysis

Skin lesion analysis uses computer vision to automate the diagnosis and treatment of skin conditions, primarily focusing on early cancer detection. Current research emphasizes improving model robustness by addressing biases stemming from underrepresented patient groups through data augmentation techniques and mitigating artifacts in dermoscopic images via novel test-time selection methods. Advanced architectures like UNets, YOLOv3, SegNet, and transformers, often combined with ensemble learning and graph convolutional networks, are employed for segmentation and classification tasks, aiming to achieve dermatologist-level accuracy and efficiency in skin lesion analysis. This work holds significant potential for improving diagnostic accuracy, reducing healthcare costs, and increasing accessibility to timely and effective skin cancer screening.

Papers

June 26, 2024

From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis
Janet Wang, Yunsung Chung, Zhengming Ding, Jihun Hamm
Artificial Intelligence Synthetic Image Underrepresented Group Majority Rule Skin Lesion Analysis Minority Inclusion Diffusion Based Augmentation

November 21, 2023

A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation
Guoqing Liu, Yu Guo, Caiying Wu, Guoqing Chen, Barintag Saheya, Qiyu Jin
Region Specific UNet Based User Interest Skin Lesion Segmentation Lesion Localization Skin Lesion Analysis UNet Architecture

August 10, 2023

Test-Time Selection for Robust Skin Lesion Analysis
Alceu Bissoto, Catarina Barata, Eduardo Valle, Sandra Avila
Spurious Correlation Annotated Image Skin Lesion Analysis Skin Lesion Classification Test Selection

July 4, 2023

Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images
Peng Tang, Yang Nan, Tobias Lasser
Medical Image Multi Modal Multi Label Classification Multi Modal Data Label Correlation Skin Lesion Analysis Graph Ensemble

June 23, 2023

Dermoscopic Dark Corner Artifacts Removal: Friend or Foe?
Samuel William Pewton, Bill Cassidy, Connah Kendrick, Moi Hoon Yap
Skin Lesion Enemy Spotted Skin Lesion Analysis Dark Corner Artifact

January 16, 2023

Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis
Shubham Innani, Prasad Dutande, Bhakti Baheti, Ujjwal Baid, Sanjay Talbar
Deep Learning Deep Convolutional Neural Network Lesion Segmentation Skin Lesion Segmentation Skin Lesion Analysis

October 11, 2022

The Fast and Accurate Approach to Detection and Segmentation of Melanoma Skin Cancer using Fine-tuned Yolov3 and SegNet Based on Deep Transfer Learning
Mohamad Taghizadeh, Karim Mohammadi
Data Detection Segmentation Based Approach YOLOv5 Model Skin Lesion Deep Transfer Learning Melanoma Skin Cancer Melanoma Detection Melanoma Classification Skin Lesion Analysis

August 25, 2022

A survey, review, and future trends of skin lesion segmentation and classification
Md. Kamrul Hasan, Md. Asif Ahamad, Choon Hwai Yap, Guang Yang
Timely Survey Classification Code Narrative Review Skin Lesion Skin Lesion Segmentation Future Trend Computer Aided Diagnosis Skin Cancer Detection Skin Lesion Analysis

July 26, 2022

Comparison of Deep Learning and Machine Learning Models and Frameworks for Skin Lesion Classification
Soham Bhosale
Deep Learning Machine Learning Model New Framework Consistent Comparison Pytorch Model Skin Lesion Lesion Detection Skin Cancer Classification Skin Lesion Analysis

June 30, 2022

Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images
Deval Mehta, Yaniv Gal, Adrian Bowling, Paul Bonnington, Zongyuan Ge
Fine Grained Distribution Detection Skin Lesion Long Tailed Understanding Out of Distribution Skin Lesion Analysis Fine Grained Object Detection

May 30, 2022

Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets
Leandro M. de Lima, Renato A. Krohling
Computer Vision Transformer Megatron Decepticons Deep Convolutional Neural Network CNN Network Small Datasets Skin Lesion Modal Feature Skin Lesion Analysis

Skin Lesion Analysis

Papers

From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis

A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation

Test-Time Selection for Robust Skin Lesion Analysis

Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images

Dermoscopic Dark Corner Artifacts Removal: Friend or Foe?

Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis

The Fast and Accurate Approach to Detection and Segmentation of Melanoma Skin Cancer using Fine-tuned Yolov3 and SegNet Based on Deep Transfer Learning

A survey, review, and future trends of skin lesion segmentation and classification

Comparison of Deep Learning and Machine Learning Models and Frameworks for Skin Lesion Classification

Out-of-Distribution Detection for Long-tailed and Fine-grained Skin Lesion Images

Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets