Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Based on the better generalization ability and the feature learning ability of the deep convolutiona...
High-grade pediatric brain tumors exhibit the highest cancer mortality rates in children. While conv...
OBJECTIVE: To compare the performance of the deep learning-based lesion detection algorithm (DLLD) i...
Significant successes in machine learning approaches to image analysis for various applications have...
Advances in digital pathology have allowed a number of opportunities such as decision support using ...
BACKGROUND: Colorectal cancer is harmful to the patient's life. The treatment of patients is determi...
BACKGROUND: In breast cancer patients receiving radiotherapy (RT), accurate target delineation and r...
Analysis of electroencephalogram (EEG) is a crucial diagnostic criterion for many sleep disorders, o...
A critical knowledge gap has been noted in breast cancer detection, prognosis, and evaluation betwee...
PURPOSE: Nodule evaluation is challenging and critical to diagnose multiple pulmonary nodules (MPNs)...
PURPOSE: The aim of the study was to develop and validate a deep learning radiomic nomogram (DLRN) f...
Replacing CT imaging with MR imaging for MR-only radiotherapy has sparked the interest of many scien...
Recently, artificial intelligence technologies and algorithms have become a major focus for advancem...
BACKGROUND: Survival rate may be predicted by tumor-node-metastasis staging systems in colon cancer....
Hematopoietic cancer is a malignant transformation in immune system cells. Hematopoietic cancer is c...
Shape, texture, and color are critical features for assessing the degree of dysplasia in colonic pol...
INTRODUCTION: We designed 5 convolutional neural network (CNN) models and ensemble models to differe...
Phenotypic profiling of large three-dimensional microscopy data sets has not been widely adopted due...
Thoracolaparoscopic esophagectomy (TLE) for carcinoma esophagus has better short-term outcomes compa...
PURPOSE: To develop a weakly supervised deep learning (WSDL) method that could utilize incomplete/mi...
Urine cytology is a test for the detection of high-grade bladder cancer. In clinical practice, the p...