… Diagnostic assessment of deep learning algorithms for detection of lymph node metastases
… Development and validation of an image-based deep learning algorithm for detection of …

… been made for Computer aided detection (CADe) approaches. In the past few years, machine
learning-based … The difficulty of algorithms based on machine learning is that the machine …

… Data-driven incipient fault detection via canonical variate dissimilarity and mixed kernel
principal component analysis[J]. IEEE Transactions on Industrial Informatics, 2021, 17(8): 5380-…

… However, early diagnosis leads to early treatment and reduces mortality rates. In the clinical
usage, breast ultrasound and computer aided diagnosis (CAD) is usually used to diagnosis …

… of deep learning in the early detection, accurate diagnosis, individualized treatment and
prognosis prediction of breast cancer, based on the above-mentioned medical imaging methods…

… detection and diagnosis through self-learning, which is an important means to achieve
computer-aided diagnosis… concepts of artificial intelligence, machine learning, deep learning, and …

… To assess the value of a computer aided diagnosis (CAD) system based on the
classification of thyroid imaging reporting and data system (TI-RADS) in the ultrasound …

… reduce workload and improve diagnostic accuracy. With the development of deep learning,
computer-aided detection and diagnosis systems based on deep learning are also growing. …

… (AI) may mistakenly seem akin to computer-aided detection, but unlike the … medicine. The
convergence of new ML techniques, such as deep learning (a class of learning algorithms that …

… corneal deformity using machine learning and artificial neural … Computer aided diagnosis
for suspect keratoconus detection… Keratoconus detection of changes using deep learning of …