Radiologic Findings of Renal Schwannoma: A Case Report and Literature Review
대한영상의학회지, 2018 Schwannoma is a benign nerve sheath tumor that involves Schwann cells mostly found in the head, neck, posterior mediastinum and extremities.
Sung Tae Hwang +6 more
doaj +1 more source
Using Out-of-the-Box Frameworks for Contrastive Unpaired Image Translation for Vestibular Schwannoma and Cochlea Segmentation: An approach for the crossMoDA Challenge [PDF]
arXiv, 2021 The purpose of this study is to apply and evaluate out-of-the-box deep learning frameworks for the crossMoDA challenge. We use the CUT model, a model for unpaired image-to-image translation based on patchwise contrastive learning and adversarial learning, for domain adaptation from contrast-enhanced T1 MR to high-resolution T2 MR. As data augmentation,
arxiv
Subtotal resection of vestibular schwannoma: evaluation with Ki-67 measurement, magnetic resonance imaging, and long-term observation [PDF]
, 2017 Purpose The aim of this study was to compare the postoperative clinical and radiological data of patients with vestibular schwannomas who were initially managed by near total resection (NTR) or subtotal resection (STR).
Angeletti, Diletta +8 more
core +1 more source
Enhancing Data Diversity for Self-training Based Unsupervised Cross-modality Vestibular Schwannoma and Cochlea Segmentation [PDF]
arXiv, 2022 Automatic segmentation of vestibular schwannoma (VS) and cochlea from magnetic resonance imaging can facilitate VS treatment planning. Unsupervised segmentation methods have shown promising results without requiring the time-consuming and laborious manual labeling process.
arxiv
Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI [PDF]
, 2020 Management of vestibular schwannoma (VS) is based on tumour size as observed on T1 MRI scans with contrast agent injection. Current clinical practice is to measure the diameter of the tumour in its largest dimension. It has been shown that volumetric measurement is more accurate and more reliable as a measure of VS size.
arxiv +1 more source
NF2/merlin in hereditary neurofibromatosis 2 versus cancer: biologic mechanisms and clinical associations. [PDF]
, 2013 Inactivating germline mutations in the tumor suppressor gene NF2 cause the hereditary syndrome neurofibromatosis 2, which is characterized by the development of neoplasms of the nervous system, most notably bilateral vestibular schwannoma.
Angelo, Laura S +2 more
core +3 more sources
A Rare Case of Schwannoma of Hard Palate: A Case Report
Medical Journal of Dr. D.Y. Patil Vidyapeeth, 2018 Schwannoma or neurilemmomas are benign, encapsulated, slow growing nerve sheath tumors of ectodermal origin derived from schwann cells of the nerve sheath. It is commonly seen in the head and neck region. It mainly arises from vestibulocochlear nerve (80%
Vidya Viswanathan +3 more
doaj +1 more source
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning [PDF]
arXiv, 2022 Domain adaptation has been widely adopted to transfer styles across multi-vendors and multi-centers, as well as to complement the missing modalities. In this challenge, we proposed an unsupervised domain adaptation framework for cross-modality vestibular schwannoma (VS) and cochlea segmentation and Koos grade prediction.
arxiv
A proteasome-resistant fragment of NIK mediates oncogenic NF-κB signaling in schwannomas [PDF]
, 2019 Schwannomas are common, highly morbid and medically untreatable tumors that can arise in patients with germ line as well as somatic mutations in neurofibromatosis type 2 (NF2).
Angus, Steven P. +23 more
core +1 more source
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation [PDF]
arXiv, 2023 The domain adaptation approach has gained significant acceptance in transferring styles across various vendors and centers, along with filling the gaps in modalities. However, multi-center application faces the challenge of the difficulty of domain adaptation due to their intra-domain differences.
arxiv