Results 41 to 50 of about 288,400 (308)
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations [PDF]
Medical Image Computing and Computer-Assisted Intervention -
MICCAI 2014 Volume 8673 of the series Lecture Notes in Computer Science pp
520-527, 2014 Automated Lymph Node (LN) detection is an important clinical diagnostic task but very challenging due to the low contrast of surrounding structures in Computed Tomography (CT) and to their varying sizes, poses, shapes and sparsely distributed locations.
arxiv +1 more source
A diagnostic approach to the mediastinal masses [PDF]
Insights into Imaging, 2012 Multiple different types of mediastinal masses may be encountered on imaging techniques in symptomatic or asymptomatic patients. The location and composition of these lesions are critical to narrowing the differential diagnosis.Radiological compartmentalisation of the mediastinum helps in focusing the diagnosis of masses on the basis of their site ...
Lluis Bernado +5 more
openaire +3 more sources
Lenvatinib rechallenge in a patient with advanced thymic carcinoma: A case report
Thoracic Cancer, Volume 13, Issue 23, Page 3408-3411, December 2022., 2022 We present a case treated with “lenvatinib rechallenge” for advanced thymic carcinoma who was previously treated with lenvatinib followed by multiple cytotoxic agents. Shortly after lenvatinib rechallenge, rapid pleural and pericardial effusion reduction was observed. Our case might suggest lenvatinib rechallenge as a treatment option for patients with
Yuto Terashima +3 more
wiley +1 more source
The interpretation of endobronchial ultrasound image using 3D convolutional neural network for differentiating malignant and benign mediastinal lesions [PDF]
arXiv, 2021 The purpose of this study is to differentiate malignant and benign mediastinal lesions by using the three-dimensional convolutional neural network through the endobronchial ultrasound (EBUS) image. Compared with previous study, our proposed model is robust to noise and able to fuse various imaging features and spatiotemporal features of EBUS videos ...
arxiv
Approach to Imaging of Mediastinal Masses
Diagnostics, 2023 Mediastinal masses present a diagnostic challenge due to their diverse etiologies. Accurate localization and internal characteristics of the mass are the two most important factors to narrow the differential diagnosis or provide a specific diagnosis.
Jitesh Ahuja +4 more
openaire +3 more sources
Thoracic Cancer, Volume 13, Issue 24, Page 3451-3458, December 2022., 2022 Clinical characteristics and risk factors for recurrence have not previously been well defined in the early recurrence group for patients with unresectable LA‐NSCLC who underwent CRT. Based on the results of our study, lower tumor proportion score may be predictors of early recurrence following concurrent chemoradiotherapy (CRT) for unresectable ...
Yutaka Takahara +12 more
wiley +1 more source
The Journal of Association of Chest PhysiciansMediastinal masses encompass a wide spectrum of diseases; therefore, histopathological diagnosis is crucial for adequate surgical or medical treatments.
Sukanta Kodali +3 more
doaj +1 more source
Monaldi Archives for Chest Disease, 2022 Follicular dendritic cell sarcoma is a rare low grade malignant neoplasm that arises from follicular dendritic cells in lymphoid tissue germinal centres and accounts for 0.4% of all soft tissue sarcomas. It is extremely rare to have pulmonary follicular
Vinay V +8 more
doaj +1 more source
Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images [PDF]
, 2017 The present study shows that the performance of CNN is not significantly different from the best classical methods and human doctors for classifying mediastinal lymph node metastasis of NSCLC from PET/CT images. Because CNN does not need tumor segmentation or feature calculation, it is more convenient and more objective than the classical methods ...
arxiv +1 more source
Advanced Materials, EarlyView.The development of hydrogel‐impregnated robust interlocking nano connector (HiRINC) aims to address stent migration by improving tissue adhesion and reducing mechanical mismatch in self‐expandable metallic stents (SEMSs). The network‐like porous layer of HiRINC enhances adhesion and energy dissipation, demonstrates through ex vivo and in vivo tests ...
Eunyoung Jeon +8 more
wiley +1 more source