Latest AI and machine learning research in other cancers for healthcare professionals.
Assessing cancer response to therapeutic interventions has been realized as an important course to e...
In the field of pathology, micro-computed tomography (micro-CT) has become an attractive imaging mod...
Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-t...
An important need exists for reliable positron emission tomography (PET) tumor-segmentation methods ...
The diagnosis of gastrointestinal stromal tumor (GIST) using conventional endoscopy is difficult bec...
Fast and accurate confirmation of metastasis on the frozen tissue section of intraoperative sentinel...
Histopathological images are a rich but incompletely explored data type for studying cancer. Manual ...
The composition and relative abundances of immune cells in the tumor microenvironment are key factor...
Tumor mutation burden (TMB) is considered to be an independent genetic biomarker that can predict th...
Since the introduction of robot-assisted surgery, increasingly complex operations have been performe...
RATIONALE AND OBJECTIVES: To investigate the value of diffusion-weighted magnetic resonance imaging ...
Cone-beam computed tomography (CBCT)- and magnetic resonance (MR)-images allow a daily observation o...
Since colonoscopy and polypectomy were introduced, Colorectal Cancer (CRC) incidence and mortality d...
PURPOSE: Convolutional neural networks (CNNs) offer a promising approach to automated segmentation. ...
Positron emission tomography (PET), a functional and dynamic molecular imaging technique, is general...
PURPOSE: The purpose of this study was to develop and validate a deep learning (DL)-based radiomics ...
This study aims to enable effective breast ultrasound image classification by combining deep feature...
The aim of this study was to develop a diagnostic strategy for esophageal squamous cell carcinoma (E...
In preclinical toxicology studies, a "stage-aware" histopathological evaluation of testes is recogni...
In this study, a transfer learning method was utilized to recognize and classify benign and malignan...
The prevalence of cancer as a threat to human life, responsible for 9.6 million deaths worldwide in ...