Oncology | Radiology Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images. June 11, 2024
Radiology Study of a Deep Convolution Network with Enhanced Region Proposal Network in the Detection of Cancerous Lung Tumors. May 25, 2024
Oncology | Radiology Development and evaluation of two open-source nnU-Net models for automatic segmentation of lung tumors on PET and CT images with and without respiratory motion compensation. April 25, 2024
Oncology | Radiology Applying deep learning to segmentation of murine lung tumors in pre-clinical micro-computed tomography. December 21, 2023
Oncology | Pathology | Radiology Fusion of laser-induced breakdown spectroscopy technology and deep learning: a new method to identify malignant and benign lung tumors with high accuracy. December 8, 2023
Radiology Detection of Lung Tumors in CT Scan Images using Convolutional Neural Networks. September 14, 2023
Oncology | Radiology Assessment of Optimizers and their Performance in Autosegmenting Lung Tumors. August 14, 2023
Oncology | Radiation Oncology | Radiology Deterministic small-scale undulations of image-based risk predictions from the deep learning of lung tumors in motion. August 13, 2022
Oncology | Pulmonology | Radiology Real-time Markerless Tracking of Lung Tumors based on 2-D Fluoroscopy Imaging using Convolutional LSTM. April 7, 2022
Medical Physics | Radiation Oncology Technical Note: 3D localization of lung tumors on cone beam CT projections via a convolutional recurrent neural network. January 3, 2020
Deep Learning | Medical Imaging | Radiation Oncology Towards Predicting the Evolution of Lung Tumors During Radiotherapy Observed on a Longitudinal MR Imaging Study Via a Deep Learning Algorithm. August 14, 2019