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Lesion Segmentation

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

( Image credit: D-UNet )

Papers

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Showing 126–150 of 640 papers

TitleStatusHype
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion SegmentationCode1
Complementary Network with Adaptive Receptive Fields for Melanoma SegmentationCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)Code1
Boundary loss for highly unbalanced segmentationCode1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox DetectorCode1
Encoder-Decoder with Atrous Separable Convolution for Semantic Image SegmentationCode1
Road Extraction by Deep Residual U-NetCode1
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)Code1
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion AnnotationsCode1
Pyramid Scene Parsing NetworkCode1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image SegmentationCode1
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images—0
Integrating Radiomics with Deep Learning Enhances Multiple Sclerosis Lesion Delineation—0
FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images—0
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework—0
How We Won the ISLES'24 Challenge by PreprocessingCode0
BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation—0
GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation—0
Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer—0
OmniMamba4D: Spatio-temporal Mamba for longitudinal CT lesion segmentation—0
A Lightweight U-Net Model for Accurate Skin Lesion Segmentation—0
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