[HTML][HTML] Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease
diagnosis with their outstanding image classification performance. In spite of the outstanding …
diagnosis with their outstanding image classification performance. In spite of the outstanding …
Standalone AI for breast cancer detection at screening digital mammography and digital breast tomosynthesis: a systematic review and meta-analysis
Background There is considerable interest in the potential use of artificial intelligence (AI)
systems in mammographic screening. However, it is essential to critically evaluate the …
systems in mammographic screening. However, it is essential to critically evaluate the …
[HTML][HTML] An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning
Brain tumors are among the most fatal and devastating diseases, often resulting in
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to …
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images
Tumor classification and segmentation are two important tasks for computer-aided diagnosis
(CAD) using 3D automated breast ultrasound (ABUS) images. However, they are …
(CAD) using 3D automated breast ultrasound (ABUS) images. However, they are …
Deep learning in mining biological data
Recent technological advancements in data acquisition tools allowed life scientists to
acquire multimodal data from different biological application domains. Categorized in three …
acquire multimodal data from different biological application domains. Categorized in three …
Artificial intelligence in clinical and genomic diagnostics
Artificial intelligence (AI) is the development of computer systems that are able to perform
tasks that normally require human intelligence. Advances in AI software and hardware …
tasks that normally require human intelligence. Advances in AI software and hardware …
[HTML][HTML] Radiomics with artificial intelligence: a practical guide for beginners
Radiomics is a relatively new word for the field of radiology, meaning the extraction of a high
number of quantitative features from medical images. Artificial intelligence (AI) is broadly a …
number of quantitative features from medical images. Artificial intelligence (AI) is broadly a …
Machine learning for workflow applications in screening mammography: systematic review and meta-analysis
Background Advances in computer processing and improvements in data availability have
led to the development of machine learning (ML) techniques for mammographic imaging …
led to the development of machine learning (ML) techniques for mammographic imaging …
Taking the leap between analytical chemistry and artificial intelligence: A tutorial review
The last 10 years have witnessed the growth of artificial intelligence into different research
areas, emerging as a vibrant discipline with the capacity to process large amounts of …
areas, emerging as a vibrant discipline with the capacity to process large amounts of …
[HTML][HTML] Overview of radiomics in breast cancer diagnosis and prognostication
Diagnosis of early invasive breast cancer relies on radiology and clinical evaluation,
supplemented by biopsy confirmation. At least three issues burden this approach: a) …
supplemented by biopsy confirmation. At least three issues burden this approach: a) …