Skin Lesion Classification

41 papers with code • 2 benchmarks • 8 datasets

This task has no description! Would you like to contribute one?

Most implemented papers

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.

FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis

hazardfy/fiba CVPR 2022

However, designing a unified BA method that can be applied to various MIA systems is challenging due to the diversity of imaging modalities (e. g., X-Ray, CT, and MRI) and analysis tasks (e. g., classification, detection, and segmentation).

Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification

pbevan1/detecting-melanoma-fairly 6 Feb 2022

Convolutional Neural Networks have demonstrated human-level performance in the classification of melanoma and other skin lesions, but evident performance disparities between differing skin tones should be addressed before widespread deployment.

Deep Multimodal Guidance for Medical Image Classification

mayurmallya/deepguide 10 Mar 2022

Furthermore, in the case of brain tumor classification, our method outperforms the model trained on the superior modality while producing comparable results to the model that uses both modalities during inference.

FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning

siyi-wind/FairDisCo 22 Aug 2022

Deep learning models have achieved great success in automating skin lesion diagnosis.

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.

Data Augmentation for Skin Lesion Analysis

fabioperez/skin-data-augmentation 5 Sep 2018

In this work, we investigate the impact of 13 data augmentation scenarios for melanoma classification trained on three CNNs (Inception-v4, ResNet, and DenseNet).

Solo or Ensemble? Choosing a CNN Architecture for Melanoma Classification

learningtitans/cvpr-skin-solo-ensemble 29 Apr 2019

We evaluate that claim for melanoma classification, over 9 CNNs architectures, in 5 sets of splits created on the ISIC Challenge 2017 dataset, and 3 repeated measures, resulting in 135 models.

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.

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.