Medscape

CT Radiomics Differentiates Lung Tumourlets From Granulomas

A quantitative radiomic analysis of non-contrast chest CT scans may non-invasively distinguish lung tumourlets from benign ...
IEEE

Vox-MMSD: Voxel-wise Multi-scale and Multi-modal Self-Distillation for Self-supervised Brain Tumor Segmentation

Abstract: Many deep learning methods have been proposed for brain tumor segmentation from multi-modal Magnetic Resonance Imaging (MRI) scans that are important for accurate diagnosis and treatment ...
BMJ

Shared decision-making using a decision aid for patients with breast cancer considering breast reconstruction: study protocol for a cluster-randomised controlled trial in Japan

Introduction Shared decision-making (SDM) requires that individuals are correctly and smoothly supported to make decisions. However, in Japan, development of decision aids (DAs) to support ...
IEEE

Reversible Feature Learning for Brain Tumor Segmentation With Incomplete Modalities

Abstract: Accurate brain tumor segmentation is vital for clinical diagnosis and treatment. Due to motion artifacts and image damage, it is challenging to obtain accurate segmentation results of brain ...
People

Sperm Donor with Cancer-Causing Gene Fathered at Least 197 Children, Says Report

Some children have already died and only a minority who inherit the mutation will escape cancer, a new report stated on Wednesday, Dec. 10 Becca Longmire is a digital news writer-reporter at PEOPLE.
Microsoft

GigaTIME: Scaling tumor microenvironment modeling using virtual population generated by multimodal AI

The convergence of digital transformation and the GenAI revolution creates an unprecedented opportunity for accelerating progress in precision health. Precision immunotherapy is a poster child for ...