Latest AI and machine learning research in oncology/hematology for healthcare professionals.
OBJECTIVE: The objective of this study was to investigate feasibility, surgical, oncological, and fu...
We present a protocol which implements deep learning-based identification of the lung adenocarcinoma...
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 ...
In this paper, we develop a detection module with strong training testing to develop a dense convolu...
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...
Diffuse large B cell lymphoma (DLBCL) is an aggressive heterogeneous disease. The most common subtyp...
Colon and rectal cancers are the most common kinds of cancer globally. Colon cancer is more prevalen...
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...
OBJECTIVES: Robot-assisted partial nephrectomy is widely performed for small renal masses, achieving...
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...
This aim of this research was to explore the evaluation and prediction value of diffusion-weighted i...
Antibody engineering is becoming increasingly popular in medicine for the development of diagnostics...
Background A deep learning (DL) model to identify lung cancer screening candidates based on their ch...
Radiomics-based machine learning classifiers have shown potential for detecting bone metastases (BM)...