ReCAP: Impact of the National Cancer Institute Community Cancer Centers Program on Clinical Trial and Related Activities at a Community Cancer Center in Rural Nebraska Over a 1-year period, the mean ...

Aiming at the task of automatic brain tumor segmentation, this paper proposes a new DenseTrans network. In order to alleviate the problem that convolutional neural networks(CNN) cannot establish ...

Abstract: Brain tumor segmentation is an important procedure for early tumor diagnosis and radiotherapy planning. Although numerous brain tumor segmentation methods have been presented, enhancing ...

All the materials released in this library can ONLY be used for RESEARCH purposes and not for commercial use. The authors' institution (Medical Image and Health Informatics Lab, School of Biomedical ...

Actor and comedian Eric Idle has expressed gratitude for 'every single day' after overcoming pancreatic cancer. The Monty Python star, 82, received an early diagnosis in 2019 and was successfully ...

Prolonged use of certain progestogen hormone drugs is associated with an increased risk of developing a type of brain tumour known as an intracranial meningioma, finds a study from France published by ...

The study adhered to the standards established in the Declaration of Helsinki. The local ethics committees approved the retrospective analysis of imaging data (EK 055/19). All patients provided ...

SEATTLE--(BUSINESS WIRE)--#StrongerThanCancer--Dr. Ching-Hon Pui, Co-Leader, Hematological Malignancies Program, St. Jude, Memphis, TN and 2020 American Cancer Society Medal of Honor Awardee, “I am ...

This is an experimental project for Image-Segmentation of Ovarian-Tumor by using Tensorflow-Slightly-Flexible-UNet Model, which is a typical classic Tensorflow2 UNet implementation TensorflowUNet.py ...

Efficacy and safety of switching other tyrosine kinase inhibitors to regorafenib combined with primary PD-1 antibodies in patients with hepatocellular carcinoma. A multicenter, phase II trial of ...