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Segmental Neurofibromatosis

Neurosurgery, 1987
Abstract Of the various forms of neurofibromatosis, the best known are peripheral neurofibromatosis (von Recklinghausen's disease) and central neurofibromatosis. There is a rare form called segmental neurofibromatosis, in which the cutaneous and neural changes are limited to one sector of the body and with which there is usually no ...
C E, Rawlings   +3 more
openaire   +2 more sources

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

BrainLes@MICCAI, 2022
Semantic segmentation of brain tumors is a fundamental medical image analysis task involving multiple MRI imaging modalities that can assist clinicians in diagnosing the patient and successively studying the progression of the malignant entity. In recent
Ali Hatamizadeh   +5 more
semanticscholar   +1 more source

Contour Detection and Hierarchical Image Segmentation

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2011
Pablo Andrés Arbeláez, Jitendra Malik
exaly   +2 more sources

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

European Conference on Computer Vision, 2018
Spatial pyramid pooling module or encode-decoder structure are used in deep neural networks for semantic segmentation task. The former networks are able to encode multi-scale contextual information by probing the incoming features with filters or pooling
Liang-Chieh Chen   +4 more
semanticscholar   +1 more source

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

open access: yesIEEE Transactions on Medical Imaging, 2015
Bjoern H Menze   +2 more
exaly   +2 more sources

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2016
This paper introduces a network for volumetric segmentation that learns from sparsely annotated volumetric images. We outline two attractive use cases of this method: (1) In a semi-automated setup, the user annotates some slices in the volume to be ...
Özgün Çiçek   +4 more
semanticscholar   +1 more source

U-Net: Convolutional Networks for Biomedical Image Segmentation

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2015
There is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper, we present a network and training strategy that relies on the strong use of data augmentation to use the available ...
O. Ronneberger, P. Fischer, T. Brox
semanticscholar   +1 more source

Segment-Forest for Segmentation

2014 22nd International Conference on Pattern Recognition, 2014
In this paper, we present a novel generalized Segment-Forest Model (SFM) to segment an object as well as label all the object's semantic parts simultaneously. Segment-Forest is composed by various generated segment trees that act directly on super pixels.
Haoqi Fan, Han Li
openaire   +1 more source

Segmental neurofibromatosis

British Journal of Dermatology, 1985
A child with segmental neurofibromatosis is reported. The clinical, histopathological and ultrastructural characteristics of this rare condition are described. This entity is considered to be a localized form of von Recklinghausen's disease. The aetiology is not clear, but somatic mutation in early embryonic development may be important.
A P, Oranje   +5 more
openaire   +2 more sources

Segmental neurofibromatosis

Journal of the American Academy of Dermatology, 1990
Two patients had localized multiple cutaneous neurofibromas; one had bilateral involvement of the scalp and the other had true segmental neurofibromatosis. Other signs of neurofibromatosis were absent. Segmental neurofibromatosis may not be related to the generalized types of neurofibromatosis but may be a cutaneous hamartoma.
A, Trattner   +4 more
openaire   +2 more sources

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