Latest AI and machine learning research in breast cancer for healthcare professionals.
We evaluated patients who underwent treatment for prostate cancer and then subsequent robot-assiste...
To study the association between histopathological features and HER2 overexpression/amplification i...
The aim of this study was to develop an automated segmentation approach for small gross tumor volume...
BACKGROUND: Researchers and developers are evaluating the use of mammogram readers that use artifici...
The interpretation of radiation dose is an important procedure for both radiological operators and p...
Online health communities (OHC) provide various opportunities for patients with chronic or life-thre...
Radiation dose in computed tomography (CT) has become a hot topic due to an upward trend in the numb...
Cancer medicine has grown increasingly complex in recent years with the advent of precision oncology...
PURPOSE: Neoadjuvant chemotherapy (NAC) is used to treat locally advanced breast cancer (LABC) and h...
The excessive radiation doses in the application of computed tomography (CT) technology pose a threa...
We present a case of locally advanced rectal cancer(LARC)treated by robot assisted intersphincteric ...
BACKGROUND: Radiation pneumonitis (RP) is a dose-limiting toxicity in lung cancer radiotherapy (RT)....
With the massive use of computers, the growth and explosion of data has greatly promoted the develop...
PURPOSE: Radiation dermatitis is one of the most common adverse events in patients undergoing radiot...
PURPOSE: Damage to shielding sheets on X-ray protective clothing may be a cause of increased radiati...
In this work, we assess how pre-training strategy affects deep learning performance for the task of ...
Delineation of organs at risk (OARs) is important but time consuming for radiotherapy planning. Auto...
Breast cancer accounts for the highest number of female deaths worldwide. Early detection of the dis...
AIMS: This review paper intends to summarize the application of machine learning to radiotherapy out...
Recent years have witnessed tremendous growth in the application of machine learning (ML) and deep l...
Mobile microrobots offer great promise for minimally invasive targeted medical theranostic applicati...