Radiography	Radiography images	7821 subjects with 6 monitoring phases	CAD for diagnosis of knee osteoarthritis	Deep Siamese	Accuracy of 0.66	Traumatology	[115]
	Radiography images	420 radiography images (219 control group, 201 ostearthritis) [2]	Radiographies CAD for hip osteoarthritis diagnosis	CNN	Accuracy of 0.92	Traumatology	[153]
	Radiography images	112,120 frontal view chest radiographs from 30,805 patients and 17,202 frontal view chest radiographs with a binary class label for normal vs abnormal	Abnormality detection in chest radiographs	CNN	AUROCs of 0.960 and 0.951. AUROCs of 0.900 and 0.893	Radiology	[145]
Slide image	Pathology cancer images (hematoxylin and eosin)	5202 images tumor infiltrating lymphocytes	Study of tumor tissue samples. Localize areas of necrosis and lymphocyte infiltration	Two CNNs	AUC of 0.95	Oncology	[2] ; [76]
	Giemsa-stained thin blood smear slides cell images	27,558 cell images 150 infected and 50 healthy patients	Create a screening system for Malaria	CNN	Accuracy of 0.94	Infectious Disease	[80]
	Microscopy image patches	249 images belonging to 20 histologic categories	Classification of breast cancer histology microscopy images	CNN with a Support Vector Machine (SVM)	Accuracy of 0.77 for four class classification and an accuracy of 0.83 for carcinoma /noncarcinoma classification	Oncology	[109]
	Microscopy histopathological images	7909 images of eight subclasses of breast cancers	CAD for breast cancer histopathological diagnosis	CNN	Accuracy of 0.93	Oncology	[110]
	Microscope images	200 female subjects aged from 22 to 64	Cervix cancer screening	Multiscale CNN	Mean and standard deviation of 0.95 and 0.18	Oncology	[122]
	Whole-slide prostate histopathology images	2663 images from 32 whole slide prostate histopathology images	Whole-slide histopathology images to outline the malignant regions	CNN	Dice coefficient of 0.72	Oncology	[2] ; [154]
Ocular fundus	2D Ocular fundus images	243 retina images	Diagnose retinal lesions	CNN	Precision recall curve of 0.86 in microaneurysms and 0.64 in exudates	Ophthalmology	[2] ; [78]
Ocular fundus	Ocular fundus images 2D	Over 85,000 images	Diabetic retinopathy detection and stage classification	Bayesian CNN	AUC value of 0.99	Ophthalmology	[88]