Journal: Multimedia Tools and Applications

Article Title: LWSNet - a novel deep-learning architecture to segregate Covid-19 and pneumonia from x-ray imagery

doi: 10.1007/s11042-022-14247-3

Figure Lengend Snippet: Consolidated accuracy graph to single architecture to quad stack architecture. The individual model’s abbreviation within brakets is MobileNetV2(Mbl), VGG19(Vgg), InceptionResNetV2(Incp), and custom lightweight CNN (CLCNN) and ‘+’ sign indicate that models are concatenated for ensemble stacking

Article Snippet: The individual model’s abbreviation within brakets is MobileNetV2(Mbl), VGG19(Vgg), InceptionResNetV2(Incp), and custom lightweight CNN (CLCNN) and ‘+’ sign indicate that models are concatenated for ensemble stacking In this experiment, the batch size of 32, initial learning rate 0.001, optimizer RMSprop, activation function ReLu, and epoch size 100 were considered.

Techniques:

Journal: Journal of Imaging

Article Title: Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey

doi: 10.3390/jimaging7090165

Figure Lengend Snippet: Classification-based studies in DR detection using fundus imaging.

Article Snippet: Patel, 2020 [ ] , EyePACS , Grade DR based on ICDR scale , Yes , DCNN: MobileNet v2 , 91.29% , NA , NA , NA.

Techniques: Imaging, Modification, Extraction

Journal: Journal of Imaging

Article Title: Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey

doi: 10.3390/jimaging7090165

Figure Lengend Snippet: Classification-based studies in DR detection using OCT and OCTA.

Article Snippet: Patel, 2020 [ ] , EyePACS , Grade DR based on ICDR scale , Yes , DCNN: MobileNet v2 , 91.29% , NA , NA , NA.

Techniques: Extraction

Journal: Journal of Imaging

Article Title: Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey

doi: 10.3390/jimaging7090165

Figure Lengend Snippet: Segmentation-based studies in DR detection using fundus images.

Article Snippet: Patel, 2020 [ ] , EyePACS , Grade DR based on ICDR scale , Yes , DCNN: MobileNet v2 , 91.29% , NA , NA , NA.

Techniques: Extraction

Journal: Journal of Imaging

Article Title: Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey

doi: 10.3390/jimaging7090165

Figure Lengend Snippet: Segmentation-based studies in DR detection using OCT, OCTA images.

Article Snippet: Patel, 2020 [ ] , EyePACS , Grade DR based on ICDR scale , Yes , DCNN: MobileNet v2 , 91.29% , NA , NA , NA.

Techniques: Control, Extraction

Journal: Quantitative Biology

Article Title: Secure and efficient implementation of facial emotion detection for smart patient monitoring system

doi: 10.15302/J-QB-022-0312

Figure Lengend Snippet: Confusion matrix for classification performance on the FER2013 dataset by MobileNet‐v2 models with (A) floating‐point weights (FP32), MSD approximated weights with (B) p = 3, (C) p = 2 and (D) p = 1.

Article Snippet: The pretrained MobileNet‐v2 models with approximated weights were implemented on the Altera DE4 development board using the Quartus Prime Pro software package.

Techniques: