Latest AI and machine learning research in lymphoma for healthcare professionals.
Pinobanksin, as one of the flavonoids, has powerful biological activities but has been under-recogni...
OBJECTIVE: This study aimed to determine the feasibility and limitations of deep learning-based coro...
Histopathological examination of tissue samples is essential for identifying tumor malignancy and th...
PET-based Alzheimer's disease (AD) assessment has many limitations in large-scale screening. Non-inv...
Pancreatic cancer (PC) is a very lethal disease with a low survival rate, making timely and accurate...
The efficacy of saving energy standards depends on the ability to anticipate the heat loss of buildi...
Quantum machine learning has made remarkable progress in many important tasks. However, the gate com...
Accurate diagnosis of the brain tumor type at an earlier stage is crucial for the treatment process ...
We determined if a convolutional neural network (CNN) deep learning model can accurately segment acu...
BACKGROUND: There is a wealth of poorly utilized unstructured data on lymphoma metabolism, and scien...
This paper discusses the challenges of producing CAR-T cells for cancer treatment and the potential ...
In recent years, identifying road users' behavior and conflicts at intersections have become an esse...
PURPOSE: To determine if machine learning (ML) or deep learning (DL) pipelines perform better in AI-...
The present study presents an alternative analytical workflow that combines mid-infrared (MIR) micro...
OBJECTIVE: To develop and independently externally validate robust prognostic imaging biomarkers dis...
Neoadjuvant therapies are used for locally advanced non-small cell lung carcinomas, whereby patholog...
BACKGROUND: Colorectal cancer is one of the most serious malignant tumors, and lymph node metastasis...
Clinical prognostic scoring systems have limited utility for predicting treatment outcomes in lympho...
PURPOSE: Due to the rarity of primary gastrointestinal lymphoma (PGIL), the prognostic factors and o...
Artificial Intelligence and Machine learning have been widely used in various fields of mathematical...
Current hardware limitations make it impossible to train convolutional neural networks on gigapixel ...