Latest AI and machine learning research in other cancers for healthcare professionals.
In this paper, an autonomous brain tumor segmentation and detection model is developed utilizing a c...
NIMA-related kinase7 (NEK7) plays a multifunctional role in cell division and NLRP3 inflammasone act...
Cancers are caused by genomic alterations that may be inherited, induced by environmental carcinogen...
Cancer has been found as a heterogeneous disease with various subtypes and aims to destroy the body'...
BACKGROUND: Robot-assisted nephroureterectomy (RANU) is the primary treatment for upper tract urothe...
Necrosis seen in histopathology Whole Slide Images is a major criterion that contributes towards sco...
OBJECTIVE: The objective of this study was to investigate feasibility, surgical, oncological, and fu...
OBJECTIVES: To investigate the feasibility and efficacy of a deep-learning (DL)-based three-dimensio...
A man in his 60s was referred to the urology department with an incidental finding of large 75 mm ma...
Detection of malignant lung nodules from Computed Tomography (CT) images is a significant task for r...
As the most prevalent and deadly malignancy, brain tumors have a dismal survival rate when they are ...
BACKGROUND: MRI represents the most established liver iron content (LIC) evaluation approach by esti...
AIM: Although MRI has a substantial role in directing treatment decisions for locally advanced recta...
Despite the progress made during the last two decades in the surgery and chemotherapy of ovarian can...
OBJECTIVE: Application effect of Leonardo's robot-assisted laparoscopy in hepatectomy for colorectal...
The objective of this research was to investigate the application value of deep learning-based compu...
Colorectal cancer (CRC) is the third most common cancer worldwide. Although clinical outcome varies ...
In prostate cancer (PCa), the use of new radiopharmaceuticals has improved the accuracy of diagnosis...
Antibody engineering is becoming increasingly popular in medicine for the development of diagnostics...
Radiomics-based machine learning classifiers have shown potential for detecting bone metastases (BM)...
Application of deep learning methods to transcriptomic data has the potential to enhance the accurac...