Latest AI and machine learning research in oncology/hematology for healthcare professionals.
PURPOSE: For the image classification problem, the construction of appropriate training data is important for improving the generalization ability of the classifier in particular when the size of the training data is small. We propose a method that quantitatively evaluates the typicality of a hematoxylin-and-eosin (H&E)-stained tissue slide from a set of immunohistochemical (IHC) stains and applie...
Artificial intelligence has become a popular field of research with goals of integrating it into the clinical decision-making process. A growing number of predictive models are being employed utilizing machine learning that includes quantitative, computer-extracted imaging features known as radiomic features, and deep learning systems. This is especially true in brain-tumor imaging where artificia...
Artificial intelligence (AI) can be applied to head and neck imaging to augment image quality and various clinical tasks including segmentation of tum...
Remote health monitoring can help prevent disease at the earlier stages. The Internet of Things (IoT) concepts have recently advanced, enabling omnipr...
Mouse models of cancer provide a powerful tool for investigating all aspects of cancer biology. In this study, we used our recently developed machine ...
INTRODUCTION: Robot-assisted radical prostatectomy (RARP) long-term oncologic outcomes were published in few studies. This paper provides a complete o...
Long noncoding RNAs (lncRNAs) are recently implicated in modifying immunology in colorectal cancer (CRC). Nevertheless, the clinical significance of i...
In this study, a novel deep learning-based methodology was investigated to predict breast cancer response to neo-adjuvant chemotherapy (NAC) using the...
BACKGROUND: Factors associated with long-term survival in gemcitabine-concurrent proton radiotherapy (GPT) for non-metastatic, locally advanced pancre...
With the rapid development and application of deep learning medical image recognition, natural language processing, and other fields, at the same time...
Increasing evidence has demonstrated that RING finger (RNF) proteins played a vital role in cellular and physiological processes and various diseases....
To identify protective and risk factors of early postoperative complications after robot-assisted radical cystectomy (RARC) for urothelial bladder ca...
INTRODUCTION: Urine cytology offers a rapid and relatively inexpensive method to diagnose urothelial neoplasia. In our setting of a public sector labo...
Predictive analytic models leveraging machine learning methods increasingly have become vital to health care organizations hoping to improve clinical ...
Histopathology reports are a primary data source for the case definition phase of a Cancer Registry. By reading the histopathology report, the operato...
PURPOSE: To reduce workload and inconsistencies in organ segmentation for radiation treatment planning, we developed and evaluated general and custom ...
With cancer seriously hampering the increasing life expectancy of people, developing an instant diagnostic method has become an urgent objective. In t...
Image fusion can be performed on images either in spatial domain or frequency domain methods. Frequency domain methods will be most preferred because ...
BACKGROUND: Allergen immunotherapy (AIT) can induce immune tolerance to allergens by activating multiple mechanisms, including promoting IgG4 synthesi...