Papers with Code 아카이브

Lesion Segmentation

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하위 태스크: 0
평가표: 9
보존된 평가 기록: 42

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

<span style="color:grey; opacity: 0.6">( Image credit: D-UNet )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/6zrg/quantitative-statistics-of-fccm

공식 코드

Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous Malformations

https://github.com/AMiiR-S/Inceptnet_cancer_recognition

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INCEPTNET: Precise And Early Disease Detection Application For Medical Images Analyses

https://github.com/AnandK27/GS-TransUNet

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GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion Analysis

https://github.com/Andrewsher/X-Net

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X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies

https://github.com/BPYap/Cut-Paste-Consistency

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Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation

https://github.com/Barrett-python/DuAT

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DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation

https://github.com/Confusezius/unet-lits-2d-pipeline

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Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function

https://github.com/DIDSR/ssynth-release

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S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images

https://github.com/DarkoBomer/VCA-Net

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Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural Nets

https://github.com/DebeshJha/2020-CBMS-DoubleU-Net

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DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

https://github.com/Guo-Xiaoqing/Skin-Seg

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Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation

https://github.com/HiLab-git/CA-Net

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CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

https://github.com/HuaiChen-1994/LDLearning

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Unsupervised Local Discrimination for Medical Images

https://github.com/IBBM/Cascaded-FCN

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Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

https://github.com/Kamnitsask/deepmedic

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A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images

https://github.com/King-HAW/ATLAS-R2-Docker-Submission

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MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation

https://github.com/KurtLabUW/ISLES2024

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How We Won the ISLES'24 Challenge by Preprocessing

https://github.com/LIVIAETS/surface-loss

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Boundary loss for highly unbalanced segmentation

https://github.com/MIC-DKFZ/Longitudinal-Difference-Weighting

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Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting

https://github.com/MJJdG/ULS23

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The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed Tomography

https://github.com/MinaJf/DRU-net

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DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation

https://github.com/MoPl90/image_translation

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Image Translation for Medical Image Generation -- Ischemic Stroke Lesions

https://github.com/NIC-VICOROB/SUNet-architecture

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Acute and sub-acute stroke lesion segmentation from multimodal MRI

https://github.com/NIC-VICOROB/cnn-ms-lesion-segmentation

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Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach

https://github.com/NIC-VICOROB/nicmslesions

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One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks

https://github.com/NIC-VICOROB/stroke-mri-segmentation

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Acute and sub-acute stroke lesion segmentation from multimodal MRI

https://github.com/NoviceMAn-prog/MSRF-Net

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MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation

https://github.com/ReubenDo/jSTABL

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Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets

https://github.com/SZUHvern/D-UNet

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D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation

https://github.com/ShishuaiHu/DCAC

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Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation

https://github.com/SiyuanYan1/PanDerm

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A Multimodal Vision Foundation Model for Clinical Dermatology

https://github.com/StefanDenn3r/Spatio-temporal-MS-Lesion-Segmentation

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Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation

https://github.com/WeiQijie/retinal-lesions

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Learn to Segment Retinal Lesions and Beyond

https://github.com/WuJunde/MrPrism

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Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle

https://github.com/YH0517/CLCI_Net

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CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke

https://github.com/YalongLiu/Refined-Segmentation-R-CNN

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Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.