Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: There is an ongoing debate about expanding the resection criteria for hepatocellular car...
In digital mammography, which is used for the early detection of breast tumors, oversight may occur ...
The early identification of malignant pulmonary nodules is critical for a better lung cancer prognos...
Silibinin is a naturally occurring compound with known positive impacts on prevention and treatment...
Seeking smaller and indistinct incisions, physicians have attempted endoscopic breast surgery in bre...
We introduce a new computer aided detection and diagnosis system for lung cancer screening with low-...
Urothelial carcinoma of the bladder (UCB) is the most common urinary cancer. White-light cystoscopy...
OBJECTIVE: Currently, the automatic sleep staging methods mainly face two problems: the first proble...
: To address the question of whether antibiotic therapy can obviate the need for prostate biopsy (PB...
Triple-negative breast cancer (TNBC), colon adenocarcinoma (COAD), ovarian cancer (OV), and glioblas...
BACKGROUND AND OBJECTIVES: Malignant lymphomas are cancers of the immune system and are characterize...
Brain tumor is one of the most death defying diseases nowadays. The tumor contains a cluster of abno...
PURPOSE: To determine whether deep learning-based algorithms applied to breast MR images can aid in ...
In cancer radiation therapy, large tumor motion due to respiration can lead to uncertainties in tumo...
Liver and hepatic tumor segmentation remains a challenging problem in Computer Tomography (CT) image...
Medical image analysis plays an important role in computer-aided liver-carcinoma diagnosis. Aiming a...
Gastrinomas are neuroendocrine tumors characterized by gastrin overexpression - 80% are sporadic and...
Gaps in colonoscopy skills among endoscopists, primarily due to experience, have been identified, an...
BACKGROUND: Advances in intracranial stereotactic radiosurgery (SRS) have led to dramatically reduce...
Magnetic resonance imaging (MRI) images can be used to diagnose brain tumors. Thanks to these images...
AIM: To realise the automated prediction of soft-tissue sarcoma (STS) grading and lung metastasis ba...