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Skin Lesion Classification

5 papers with code · Medical
Subtask of Skin

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Data Augmentation for Skin Lesion Analysis

5 Sep 2018fabioperez/skin-data-augmentation

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

DATA AUGMENTATION SKIN CANCER CLASSIFICATION SKIN LESION CLASSIFICATION

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

9 Oct 2019ngessert/isic2019

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.

SKIN LESION CLASSIFICATION

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

7 May 2019ngessert/patch-lesion

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

IMAGE CLASSIFICATION SKIN LESION CLASSIFICATION

Melanoma Detection using Adversarial Training and Deep Transfer Learning

Journal of Physics in Medicine and Biology 2020 hasibzunair/adversarial-lesions

In the first stage, we leverage the inter-class variation of the data distribution for the task of conditional image synthesis by learning the inter-class mapping and synthesizing under-represented class samples from the over-represented ones using unpaired image-to-image translation.

CONDITIONAL IMAGE GENERATION IMAGE-TO-IMAGE TRANSLATION MEDICAL IMAGE GENERATION SKIN CANCER CLASSIFICATION SKIN LESION CLASSIFICATION TRANSFER LEARNING

WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks

10 Aug 2018YeongChanLee/WonDerM_ISIC2018_SkinLesionAnalysis

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

SKIN LESION CLASSIFICATION