Color ocular fundus images

6679 random sampling images from Kaggle’s Diabetic Retinopathy Detection

Detect retinal hemorrhages

CNN

AUC of 0.894 and 0.972

Ophthalmology

[95]

Ocular fundus images

168 images with glaucoma and 428 control

System to detect and evaluate glaucoma

CNN: ResNet and

U-Net

AUC of 0.91 and 0.84 respectively

Ophthalmology

[98]

Ocular fundus images

90,000 images with their diagnoses

Predict the evolution of diabetic retinopathy with fundus images

CNN

AUC of 0.95

Ophthalmology

[155]

Fundus images

7000 colour fundus images

Image quality in the context of diabetic retinopathy

CNN

Accuracy of 100%

Ophthalmology

[156]

AREDS (age related eye disease study) image

130,000 fundus images

Diagnosis of Age-related Macular Degeneration

CNN

94.97 sensitivity and 98.32% specificity

Ophthalmology

[157]

Fundus images

219,302 from normal participants without hypertension, diabetes mellitus (DM), and any smoking history

Predict age and sex from retinal fundus images

CNN

AUC 0.96

Ophthalmology

[2] ;

[158]

Dermoscopy

Dermoscopy images

350 images of melanomas and 374 benign nevus

Dermoscopy CAD system for acral lentiginous melanoma diagnosis

CNN

Accuracy of over 0.80

Oncology

[2] ;

[99]

Patient demographics and clinical images

49,567 images

Recognize nails nychomycosis lesions

Region-based-

CNN

AUC of 0.98, AUC of 0.95, AUC of 0.93, AUC value of 0.82 in the different datasets

Dermatology

[120]

Stress 99mTc-sestamibi or tetrofosmin myocardial perfusion images

1638 patients

Obstructive coronary disease automatic prediction system

CNN

Sensitivity value of 0.82 and 0.69 for both use cases

Cardiovascular

[159]

Arterial labeling

Arterial spin labeling (ASL) perfusion images

140 subjects

Monitoring cerebral arterial perfusion via spin labeling

CNN

AUC of 0.94

Cardiovascular

[91]

Frames from endoscopy

Frames from endoscopy videos

205 normal and 360 abnormal images

Detection and localization system of gastrointestinal anomalies via endoscopy

CNN

AUC of over 0.80

Gastroenterology

[103]