Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Upper-tract urothelial carcinoma is a relatively rare malignancy. Current guidelines strongly recomm...
High-grade B-cell lymphoma (HGBL) is a newly introduced category of rare and heterogeneous invasive ...
Computer tomography texture analysis (CTTA) based on the V-Net convolutional neural network (CNN) al...
OBJECTIVES: To propose deep-learning (DL)-based predictive model for pathological complete response ...
Robotic systems for head and neck surgery are at different stages of technical development and clini...
BACKGROUND: Detection and segmentation of brain tumors using MR images are challenging and valuable ...
BACKGROUND AND OBJECTIVE: In oncology, 18-fluorodeoxyglucose (F-FDG) positron emission tomography (P...
Nuclear radiation environmental monitoring has become an important issue in floor surveys. From the ...
OBJECTIVES: Fast volumetric ultrasound presents an interesting modality for continuous and real-time...
Cervical cancer is the fourth most common cancer in women, and its precise detection plays a critica...
High-throughput phenotyping is becoming increasingly available thanks to analytical and bioinformati...
In computer vision and medical image processing, object recognition is the primary concern today. Hu...
BACKGROUND: Recent studies showed the potential of MRI-based deep learning (DL) for assessing treatm...
Epstein-Barr virus-associated gastric cancer (EBVaGC) shows a robust response to immune checkpoint i...
Calf thymus polypeptide (CTP), with a molecular mass of <10Â kDa, is prepared from the thymus of less...
BACKGROUND: Micronucleus (MN) is an abnormal fragment in a human cell caused by disorders in the mec...
Smart medical uses the medical information platform and the current technological means to enable th...
BACKGROUND: Cancer is a set of diseases characterized by unchecked cell proliferation and invasion o...
BACKGROUND: Automatic segmentation has recently been developed to yield objective data. Prediction o...
OBJECTIVE: To design a deep learning model based on multimodal magnetic resonance image (MRI) sequen...
BACKGROUND: Artificial intelligence (AI) for gastric cancer diagnosis has been discussed in recent y...