Results 141 to 150 of about 720,622 (316)

Lymphe [PDF]

open access: yes, 2017
A. M. Gressner, O. A. Gressner
openaire   +1 more source

BreastWatch: A Varian Eclipse script tool for Community‐Based automatic evaluation of breast treatment plans

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This work introduces BreastWatch, a Varian Eclipse script tool designed to help medical physicists, dosimetrists, and radiation oncologists easily inspect and improve External Beam Breast Treatment (EBBT) plans using automatic evaluation of protocol dose‐constraints enhanced by a Community‐Based approach.
Stefano Agostinelli   +8 more
wiley   +1 more source

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du   +7 more
wiley   +1 more source

A histopathological study of lymph nodes irradiated with colloidal AU198 [PDF]

open access: bronze, 1955
William M. Christopherson   +1 more
openalex   +1 more source

Assessment of concurrent neoplasms and a paraneoplastic association in MOGAD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
Abstract Cases of myelin oligodendrocyte glycoprotein (MOG) antibody‐associated disease (MOGAD) co‐occurring with neoplasms have been reported. In this international, retrospective cohort study in South Korea and the USA, 16 of 445 (3.6%) patients with MOGAD had concurrent neoplasm within 2 years of MOGAD onset, resulting in a standardized incidence ...
Young Nam Kwon   +24 more
wiley   +1 more source

Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis [PDF]

open access: yesarXiv
Multi-modal Learning has attracted widespread attention in medical image analysis. Using multi-modal data, whole slide images (WSIs) and clinical information, can improve the performance of deep learning models in the diagnosis of axillary lymph node metastasis.
arxiv  

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