id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-258556-hglp1vpm	Peña-Solórzano, Carlos A.	Findings from machine learning in clinical medical imaging applications – Lessons for translation to the forensic setting	2020-10-18		.txt	text/plain	8147	383	42	Existing ML approaches in clinical imaging can likely be transferred to the forensic setting with careful consideration to account for the increased variability and temporal factors that affect the data used to train these algorithms. Van Tulder and de Bruijne [63] utilized convolutional RBMs, adding learning objectives that helped the algorithm to extract features for description and training data classification. J o u r n a l P r e -p r o o f Conclusions ML techniques have been applied to a large number of tasks that can be used in clinical medicine, where the algorithms most widely utilized in applications with medical images include RFs, SVMs, and CNNs. CNNs have shown better performance in the literature.	./cache/cord-258556-hglp1vpm.txt	./txt/cord-258556-hglp1vpm.txt