Deep learning in cancer diagnosis and prognosis prediction: a minireview on challenges, recent trends, and future directions
Deep learning (DL) is a branch of machine learning and artificial intelligence that has been
applied to many areas in different domains such as health care and drug design. Cancer …
applied to many areas in different domains such as health care and drug design. Cancer …
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
[HTML][HTML] An investigation of XGBoost-based algorithm for breast cancer classification
Breast cancer is one of the leading cancers affecting women around the world. The
Computer-Aided Diagnosis (CAD) system is a powerful tool to assist pathologists during the …
Computer-Aided Diagnosis (CAD) system is a powerful tool to assist pathologists during the …
Survey on machine learning and deep learning applications in breast cancer diagnosis
Cancer is a fatal disease caused due to the undesirable spread of cells. Breast carcinoma is
the most invasive tumors and is the main reason for cancer deaths in females. Therefore …
the most invasive tumors and is the main reason for cancer deaths in females. Therefore …
Encoder enhanced atrous (EEA) unet architecture for retinal blood vessel segmentation
V Sathananthavathi, G Indumathi - Cognitive Systems Research, 2021 - Elsevier
The retinal blood vessel segmentation is required for continuously monitoring the blood
vessel in most of the retinal disease diagnosis. Deep learning approaches are accepted as …
vessel in most of the retinal disease diagnosis. Deep learning approaches are accepted as …
[HTML][HTML] Spatiotemporally explicit earthquake prediction using deep neural network
Due to the complexity of predicting future earthquakes, machine learning algorithms have
been used by several researchers to increase the Accuracy of the forecast. However, the …
been used by several researchers to increase the Accuracy of the forecast. However, the …
A systematic literature review of breast cancer diagnosis using machine intelligence techniques
Breast cancer is one of the most common diseases in women; it can have long-term
implications and can even be fatal. However, early detection, achieved through recent …
implications and can even be fatal. However, early detection, achieved through recent …
A compact convolutional neural network augmented with multiscale feature extraction of acquired monitoring data for mechanical intelligent fault diagnosis
Considering all the monitoring data of bearings until failure, very few data are acquired
when the bearings are faulty. Such circumstance leads to small faulty sample problem when …
when the bearings are faulty. Such circumstance leads to small faulty sample problem when …
Intelligent fault diagnosis of mechanical equipment under varying working condition via iterative matching network augmented with selective Signal reuse strategy
Change of working condition leads to discrepancy in domain distribution of equipment
vibration signals. This discrepancy poses an obstacle to application of deep learning …
vibration signals. This discrepancy poses an obstacle to application of deep learning …
[HTML][HTML] AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine
Background AI in healthcare has been recognized by both academia and industry in
revolutionizing how healthcare services will be offered by healthcare service providers and …
revolutionizing how healthcare services will be offered by healthcare service providers and …