Search
Now showing items 1-5 of 5
Impact of type of full-field digital image on mammographic density assessment and breast cancer risk estimation: a case-control study.
(2016-09-26)
Background Full-field digital mammography, which is gradually being introduced in most clinical and screening settings, produces two types of images: raw and processed. However, the extent to which mammographic density ...
Stromal cell ratio based on automated image analysis as a predictor for platinum-resistant recurrent ovarian cancer.
(BMC, 2019-02-18)
BACKGROUND: Identifying high-risk patients for platinum resistance is critical for improving clinical management of ovarian cancer. We aimed to use automated image analysis of hematoxylin & eosin (H&E) stained sections to ...
Development of the SIOPE DIPG network, registry and imaging repository: a collaborative effort to optimize research into a rare and lethal disease.
(SPRINGER, 2017-04-01)
Diffuse intrinsic pontine glioma (DIPG) is a rare and deadly childhood malignancy. After 40 years of mostly single-center, often non-randomized trials with variable patient inclusions, there has been no improvement in ...
The use of digital pathology and image analysis in clinical trials.
(WILEY, 2019-04-01)
Digital pathology and image analysis potentially provide greater accuracy, reproducibility and standardisation of pathology-based trial entry criteria and endpoints, alongside extracting new insights from both existing and ...
Encrypted federated learning for secure decentralized collaboration in cancer image analysis.
(ELSEVIER, 2024-02-01)
Artificial intelligence (AI) has a multitude of applications in cancer research and oncology. However, the training of AI systems is impeded by the limited availability of large datasets due to data protection requirements ...