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Lesion Segmentation

45 papers with code ยท Medical

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

( Image credit: D-UNet )

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Latest papers without code

Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data

3 Feb 2020

A discriminator model is then trained to predict if two lesion segmentations are based on scans acquired using the same scanner type or not, achieving a 78% accuracy in this task.

LESION SEGMENTATION

e-UDA: Efficient Unsupervised Domain Adaptation for Cross-Site Medical Image Segmentation

25 Jan 2020

Domain adaptation in healthcare data is a potentially critical component in making computer-aided diagnostic systems applicable cross multiple sites and imaging scanners.

LESION SEGMENTATION SEMANTIC SEGMENTATION UNSUPERVISED DOMAIN ADAPTATION

Weakly Supervised Lesion Co-segmentation on CT Scans

24 Jan 2020

In this work, we propose a weakly-supervised co-segmentation model that first generates pseudo-masks from the RECIST slices and uses these as training labels for an attention-based convolutional neural network capable of segmenting common lesions from a pair of CT scans.

LESION SEGMENTATION

Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation

23 Jan 2020

Lesion segmentation on computed tomography (CT) scans is an important step for precisely monitoring changes in lesion/tumor growth.

COMPUTED TOMOGRAPHY (CT) LESION SEGMENTATION

Breast lesion segmentation in ultrasound images with limited annotated data

21 Jan 2020

Ultrasound (US) is one of the most commonly used imaging modalities in both diagnosis and surgical interventions due to its low-cost, safety, and non-invasive characteristic.

LESION SEGMENTATION SEMANTIC SEGMENTATION

Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification

4 Jan 2020

The two-stage deep learning algorithm consists of U-Net segmentation model with the annotation scheme and CNN classifier model.

LESION SEGMENTATION SEMANTIC SEGMENTATION

Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks

16 Dec 2019

We train the network on 247 images with a variety of lesion sizes, complexity, and anatomical sites.

LESION SEGMENTATION

DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images

10 Dec 2019

In this paper, we propose a diabetic retinopathy generative adversarial network (DR-GAN) to synthesize high-resolution fundus images which can be manipulated with arbitrary grading and lesion information.

DATA AUGMENTATION LESION SEGMENTATION

Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network

25 Nov 2019

In this paper, we demonstrate the feasibility and performance of deep residual neural networks for volumetric segmentation of irreversibly damaged brain tissue lesions on T1-weighted MRI scans for chronic stroke patients.

LESION SEGMENTATION

Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural Networks

19 Nov 2019

We implement a visual interpretability method Layer-wise Relevance Propagation (LRP) on top of 3D U-Net trained to perform lesion segmentation on the small dataset of multi-modal images provided by ISLES 2017 competition.

LESION SEGMENTATION