Progress in the development of molecular-targeted therapies in the field of inflammatory bowel disease has been remarkable. With the advent of molecular-targeted agents, treatment strategies have changed, and higher-level treatment goals have been se...
The prevalent type of blood cancer is called leukemia, which is caused by the irregular production of immature malignant cells in the bone marrow. This dangerous condition weakens the immune system, making the body susceptible to infections, and can ...
The precise identification of tumor T-cell antigens (TTCAs) is crucial for advancements in cancer immunotherapy and other clinical uses. In contrast to the labor-intensive and time-consuming process of experimentally identifying TTCAs, computational ...
One of the most prevalent cancers in the world is kidney cancer (KC). A precise diagnosis, which is influenced by a number of variables, such as the size or volume of the tumor, the types and stages of the cancer, etc., is essential for the treatment...
PURPOSE: To evaluate the diagnostic performance of combining ultrafast real-time cine MRI with morphological measurements on gastroesophageal reflux disease (GERD).
PURPOSE: Patients increasingly rely on online resources to better understand their health conditions. ChatGPT could satisfy the demand for reliable and accessible online health education resources, yet few studies have applied this to pediatric ortho...
BACKGROUND: Artificial intelligence (AI) is transforming diagnostic imaging in dentistry. This systematic review evaluates existing literature on augmented intelligence in dentomaxillofacial radiology, focusing on its influence on human collaboration...
Neural networks : the official journal of the International Neural Network Society
Apr 5, 2025
In recent years, despite significant advancements in salient object detection (SOD), performance in complex interference environments remains suboptimal. To address these challenges, additional modalities like depth (SOD-D) or thermal imaging (SOD-T)...
Neural networks : the official journal of the International Neural Network Society
Apr 5, 2025
Continual learning (CL) has received a surge of interest, particularly in parameter isolation approaches, aiming to prevent catastrophic forgetting by assigning a disjoint parameter set to each task. Despite their effectiveness, existing approaches o...
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