Skin Lesion Segmentation

Skin lesion segmentation, the automated identification of skin lesion boundaries in images, is crucial for early skin cancer detection and improved diagnosis. Current research heavily utilizes deep learning, focusing on hybrid architectures that combine convolutional neural networks (CNNs) with transformers to leverage both local and global image features, and exploring lightweight models for efficient deployment on mobile devices. These advancements aim to improve segmentation accuracy, address challenges like blurry boundaries and varying lesion sizes, and ultimately enhance the speed and accessibility of skin cancer diagnosis.

Papers

May 20, 2022

Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou
Multi Scale Skin Lesion Segmentation Dilated Convolutional Neural Network

May 14, 2022

Self-supervised Assisted Active Learning for Skin Lesion Segmentation
Ziyuan Zhao, Wenjing Lu, Zeng Zeng, Kaixin Xu, Bharadwaj Veeravalli, Cuntai Guan
Self Supervised Learning Self Supervised Active Learning Segmentation Model Skin Lesion Segmentation Biomedical Image Segmentation

May 4, 2022

FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
Jeffry Wicaksana, Zengqiang Yan, Dong Zhang, Xijie Huang, Huimin Wu, Xin Yang, Kwang-Ting Cheng
Medical Image Segmentation Semi Supervised Image Level Label Skin Lesion Segmentation Breast Tumor Segmentation Image Segmentation Model

March 27, 2022

MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation
Hritam Basak, Rohit Kundu, Ram Sarkar
Convolutional Neural Network Skin Lesion Segmentation Final Segmentation

February 8, 2022

Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image Segmentation
Xinkai Zhao, Chaowei Fang, De-Jun Fan, Xutao Lin, Feng Gao, Guanbin Li
Contrastive Learning Semi Supervised Learning Semi Supervised Medical Image Segmentation Skin Lesion Segmentation Consistency Constraint

December 20, 2021

Skin lesion segmentation and classification using deep learning and handcrafted features
Redha Ali, Hussin K. Ragb
Deep Learning Convolutional Neural Network Classification Code Feature Wise Convolutional Neural Network Model Skin Lesion Segmentation Feature Transfer Hybrid Feature

December 3, 2021

MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification
Jingye Chen, Jieneng Chen, Zongwei Zhou, Bin Li, Alan Yuille, Yongyi Lu
Transformer Megatron Decepticons Classification Code Segmentation Task K TOKEN Lesion Segmentation Skin Lesion Segmentation TransUnet Model Lesion Classification

November 16, 2021

Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism
G Jignesh Chowdary, G V S N Durga Yathisha, Suganya G, Premalatha M
Skin Lesion Multi Scale Feature Skin Lesion Segmentation Dermoscopic Image Lesion Localization