Latest AI and machine learning research in lung cancer for healthcare professionals.
According to the limited molecular information reflected by single spectroscopy, and the complementa...
In recent years, radioactive sources have been widely used in various fields (e.g., nuclear industry...
As the ground-based instruments for measuring net radiation are costly and need to be handled skillf...
AIMS: The reporting of tumour cellularity in cancer samples has become a mandatory task for patholog...
Background Photon-counting detector (PCD) CT and deep learning noise reduction may improve spatial r...
Anaplastic lymphoma kinase (ALK) and ROS oncogene 1 (ROS1) gene fusions are well-established key pla...
Due to high recurrence rates in patients with non-small cell lung cancer (NSCLC), medical profession...
The protostome leucokinin (LK) signaling system, including LK peptides and their G protein-coupled r...
With an astounding five million fatal cases every year, lung cancer is among the leading causes of m...
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis even after curative resecti...
Recently, dental cone-beam computed tomography (CBCT) methods have been improved to significantly re...
Acyl-CoA synthetase long-chain family member 4 (ACSL4) has been linked to the occurrence of tumors a...
PURPOSE: To develop a novel multimodal data fusion model by incorporating computed tomography (CT) i...
Deep inspiration breath-hold (DIBH) is widely used to reduce the cardiac dose in left-sided breast c...
Deep learning (DL) based approach aims to construct a full workflow solution for cervical cancer wit...
PURPOSE: To develop an automated lung tumor segmentation method for radiation therapy planning based...
AIMS: Objective evaluation of radiation dermatitis is important for analysing the correlation betwee...
A large-scale and well-annotated dataset is a key factor for the success of deep learning in medical...
To evaluate the surgical and functional outcomes between robot-assisted (CRO-RAPN) vs. laparoscopic ...
The diversifying modalities of treatment for gastric cancer raise urgent demands for the rapid and ...
Colonoscopy is an effective tool to detect colorectal lesions and needs the support of pathological ...