IEEE

Liver Extraction Using Residual Convolution Neural Networks From Low-Dose CT Images

Abstract: An efficient and precise liver extraction from computed tomography (CT) images is a crucial step for computer-aided hepatic diseases diagnosis and treatment. Considering the possible risk to ...
Physics World

RadCalc QA: ensuring safe and efficient radiotherapy throughout Australia

Cancer care provider GenesisCare is using LAP’s RadCalc platform to perform software-based quality assurance of all its radiotherapy treatment plans Saving time, increasing safety GenesisCare’s ...
The Lancet

Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer ...
Physics World

Painting with protons: treatment beams recreate works of art

Intensity-modulated proton therapy (IMPT) is an advanced cancer treatment technique that uses narrow pencil-like beams of protons – painted spot-by-spot and layer-by-layer within the patient – to ...
snmjournals.org

Dosimetry in Radiopharmaceutical Therapy

The application of radiopharmaceutical therapy for the treatment of certain diseases is well established, and the field is expanding. New therapeutic radiopharmaceuticals have been developed in recent ...
PNAS

Discovering design principles of collagen molecular stability using a genetic algorithm, deep learning, and experimental validation

Collagen is the most abundant structural protein in humans and as such, is often used in biomedical applications for tissue repair and regeneration. Designing de novo collagen to maintain its ...
Frontiers

Accurate Tumor Segmentation via Octave Convolution Neural Network

Three-dimensional (3D) liver tumor segmentation from Computed Tomography (CT) images is a prerequisite for computer-aided diagnosis, treatment planning, and monitoring of liver cancer. Despite many ...
Frontiers

Investigation of a Novel Deep Learning-Based Computed Tomography Perfusion Mapping Framework for Functional Lung Avoidance Radiotherapy

Functional lung avoidance radiation therapy aims to minimize dose delivery to the normal lung tissue while favoring dose deposition in the defective lung tissue based on the regional function ...
Wilson Center

Solar Radiation Management

Solar radiation management (SRM) is an idea born of desperation. It is also an idea that demands consideration as the global community grapples with an ongoing and accelerating climate crisis. This ...
Cancer Research

A Convolutional Neural Network Uses Microscopic Images to Differentiate between Mouse and Human Cell Lines and Their Radioresistant Clones

2Department of Disease Data Science, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan. 3Department of Frontier Science for Cancer and Chemotherapy, Graduate School of Medicine, Osaka ...