Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: The accurate screening of tumor genomic landscapes for somatic mutations using high-thro...
With deep convolutional neural networks and fiber optic Raman spectroscopy, this study presents a no...
BACKGROUND AND AIMS: Cancer invasion depth is a critical factor affecting the choice of treatment in...
BACKGROUND: Approximately 10%-15% of patients with breast cancer die of cancer metastasis or recurre...
Irinotecan (CPT-11) is a drug used against a wide variety of tumors, which can cause severe toxicity...
The diagnosis of pancreatic cystic lesions remains challenging. This study aimed to investigate the ...
IMPORTANCE: Biological therapies have revolutionized inflammatory bowel disease management, but many...
BACKGROUND: Detecting and segmenting brain metastases is a tedious and time-consuming task for many ...
To investigate the efficacy, safety, and associated mechanisms of injected ozonated saline in the t...
Rapid classification of tumors that are detected in the medical images is of great importance in the...
BACKGROUND: Within the cancer domain, ontologies play an important role in the integration and annot...
Tumor segmentation is of great importance for diagnosis and prognosis of brain cancer in medical fie...
Accurate and reliable brain tumor segmentation is a critical component in cancer diagnosis. Accordin...
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosar...
Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical elem...
Maximal resection of tumor while preserving the adjacent healthy tissue is particularly important fo...
OBJECTIVES: This study was conducted in order to evaluate a novel risk stratification model using du...
PURPOSE: We aimed to evaluate the value of deep learning on positron emission tomography with comput...
Breast cancer is one of the most common cancers all over the world, which bring about more than 450,...
This study aims to develop a semi-automatic system for brain tumor segmentation in 3D MR images. For...
BACKGROUND: Identification of Hürthle cell cancers by non-operative fine-needle aspiration biopsy (F...