isic-2018 开源项目推荐（24 个）

xmindflow /MSA-2Net

[BMVC 2024] Official repository of the paper titled "MSA^2 Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation"

OSUPCVLab /MobileUNETR

MobileUNETR官方实现：一款轻量级端到端混合视觉变换器，用于高效医学图像分割（ECCV2024）（口头）

JiaxinZhuang /Skin-Lesion-Recognition.Pytorch

Rank3 Code for ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3

xmindflow /WaveFormer

[MICCAI 2023] Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers

mmu-dermatology-research /isic_duplicate_removal_strategy

Instructions for the removal of duplicate image files from within individual ISIC datasets and across all ISIC datasets.

MichaelVorndran /InconsistencyMasks

Official implementation of Inconsistency Masks. A robust semi-supervised segmentation framework that reframes model disagreement as a signal for uncertainty filtering. It acts as a general performance enhancer for SOTA models and a stabilizer for training from scratch.

nikhilroxtomar /Skin-Lesion-Segmentation-in-TensorFlow-2.0

This repository contains the code for semantic segmentation of the skin lesions on the ISIC-2018 dataset using TensorFlow 2.0.

mmu-dermatology-research /dark_corner_artifact_removal

Source code and experiments for the paper: "Dark Corner on Skin Lesion Image Dataset: Does it matter?"

karthik-d /lesion-characterization-using-cgan

Analysis of the dermoscopic image processing pipeline toward optimally segmenting skin lesion regions and classifying lesion types using adversarial and generative deep learning.

TaherGrayson24 /deep_learning_skin_cancer_detection_multi_type_isic2018

多类型ISIC 2018皮肤病变分类的深度学习流程，包含CNN、预处理、增强以及训练和推断支持🐙。

reshalfahsi /GIVTED-Net

The official repository for "GIVTED-Net: GhostNet-Mobile Involution ViT Encoder-Decoder Network for Lightweight Medical Image Segmentation."

SunilGolden /DermatoAI-ISIC2018

Skin Lesion Classifier using the ISIC 2018 Task 3 Dataset.

ibrar-syed /deep_learning_skin_cancer_detection_multi_type_isic2018

A deep learning pipeline for skin lesion classification using ISIC dataset with multiple deep learning cnn algorithms and advanced preprocessing including multithreaded loading, augmentation, and performance evaluation.

SidarYilmaz /skin-cancer-qcnn-segmentation

Quantum-enhanced SAM for skin lesion segmentation on ISIC 2018. Hybrid SAM + Quantum Channel Attention achieves 91.23% IoU.

BertinAm /unet-skin-lesion-segmentation

Deep learning system for automated skin lesion segmentation using U-Net, Attention U-Net, and U-Net++ on the ISIC-2018 dataset, with a Gradio demo and Grad-CAM explainability.

dfrumkin /isic2018-vibe

Vibe-coded skin lesion segmentation pipeline for the ISIC 2018 Task 1 challenge.

nahin333 /A-Comparative-Study-of-Neural-Network-Architectures-for-Lesion-Segmentation-and-Melanoma-Detection

A comparative study for skin lesion segmentation and melanoma detection where deep learning methods can perform very well without complex pre-processing techniques except for normalization and augmentation.

seema-Maqbool /skin-seg-repro

Reproduction of a U-Net (ResNet34) skin lesion segmentation model on ISIC 2018, with honest results vs. the original claims

e-wxy /NL-Sparse-Regularization

Robust learning on ISIC 2018, based on Learning with Noisy Labels via Sparse Regularization (ICCV 2021).

tararelan /ELEC4840-Final-Project-2024

该项目在 GitHub 上没有填写描述