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Lesion Segmentation

47 papers with code ยท Medical

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

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Latest papers without code

Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images

30 Mar 2020

A lesion conditional image (segmented mask) is an input to both the generator and the discriminator of the LcGAN during training.

COMPUTED TOMOGRAPHY (CT) CONDITIONAL IMAGE GENERATION DATA AUGMENTATION LESION SEGMENTATION

Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images

23 Mar 2020

The semantic segmentation of skin lesions is an important and common initial task in the computer aided diagnosis of dermoscopic images.

LESION SEGMENTATION SEMANTIC SEGMENTATION

Semi-supervised few-shot learning for medical image segmentation

18 Mar 2020

To handle this new learning paradigm, we propose to include surrogate tasks that can leverage very powerful supervisory signals --derived from the data itself-- for semantic feature learning.

FEW-SHOT LEARNING LESION SEGMENTATION SEMANTIC SEGMENTATION

Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?

9 Mar 2020

Despite recent improvements in medical image segmentation, the ability to generalize across imaging contrasts remains an open issue.

LESION SEGMENTATION SEMANTIC SEGMENTATION

Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation

20 Feb 2020

Accurate segmentation of skin lesion from dermoscopic images is a crucial part of computer-aided diagnosis of melanoma.

LESION SEGMENTATION

Automatic lesion segmentation and Pathological Myopia classification in fundus images

15 Feb 2020

In this paper we present algorithms to diagnosis Pathological Myopia (PM) and detection of retinal structures and lesions such asOptic Disc (OD), Fovea, Atrophy and Detachment.

LESION SEGMENTATION TRANSFER LEARNING

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