Lesion Classification

25 papers with code • 2 benchmarks • 7 datasets

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Most implemented papers

Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for the Diagnosis of Skin Lesions

igondia/matconvnet-dermoscopy 6 Mar 2017

This report describes our submission to the ISIC 2017 Challenge in Skin Lesion Analysis Towards Melanoma Detection.

Image Classification of Melanoma, Nevus and Seborrheic Keratosis by Deep Neural Network Ensemble

Abdulrahman-Adel/Skin-Cancer-Detection 9 Mar 2017

This short paper reports the method and the evaluation results of Casio and Shinshu University joint team for the ISBI Challenge 2017 - Skin Lesion Analysis Towards Melanoma Detection - Part 3: Lesion Classification hosted by ISIC.

WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks

YeongChanLee/WonDerM_ISIC2018_SkinLesionAnalysis 10 Aug 2018

As skin cancer is one of the most frequent cancers globally, accurate, non-invasive dermoscopy-based diagnosis becomes essential and promising.

Automated Skin Lesion Classification Using Ensemble of Deep Neural Networks in ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection Challenge

miltonbd/ISIC_2018_classification 30 Jan 2019

In this paper, we studied extensively on different deep learning based methods to detect melanoma and skin lesion cancers.

A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification

YtongXie/MB-DCNN 8 Mar 2019

Our results suggest that it is possible to boost the performance of skin lesion segmentation and classification simultaneously via training a unified model to perform both tasks in a mutual bootstrapping way.

Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting

ngessert/patch-lesion 7 May 2019

The first problem is the effective use of high-resolution images with pretrained standard architectures for image classification.

Handling Inter-Annotator Agreement for Automated Skin Lesion Segmentation

vribeiro1/skin-lesion-segmentation-agreement 6 Jun 2019

We also evaluate how conditioning the ground truths using different (but very simple) algorithms may help to enhance agreement and may be appropriate for some use cases.

An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis

xmichelleshihx/AL_Skin_SAAS 5 Sep 2019

In this paper, we present a novel active learning framework for cost-effective skin lesion analysis.

Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data

ngessert/isic2019 9 Oct 2019

On the official test set our method is ranked first for both tasks with a balanced accuracy of 63. 6% for task 1 and 63. 4% for task 2.

Learn to Segment Retinal Lesions and Beyond

WeiQijie/retinal-lesions 25 Dec 2019

This paper attacks the three challenges in the context of diabetic retinopathy (DR) grading.