Journal: Sensors (Basel, Switzerland)

Article Title: Crack Detection and Analysis of Concrete Structures Based on Neural Network and Clustering

doi: 10.3390/s24061725

Figure Lengend Snippet: ResNet50 architecture (including residual learning block).

Article Snippet: The key findings and conclusions are summarized as follows: ResNet50 neural network algorithm: A ResNet50 neural network algorithm for concrete crack detection was developed and implemented in Matlab R2020b.

Techniques: Blocking Assay

Journal: Diagnostics

Article Title: Mobile-HR: An Ophthalmologic-Based Classification System for Diagnosis of Hypertensive Retinopathy Using Optimized MobileNet Architecture

doi: 10.3390/diagnostics13081439

Figure Lengend Snippet: Limitations of the state-of-the-art-work on hypertensive retinopathy.

Article Snippet: Hacisoftaoglu et al. [ ] , This study uses a DL approach and the ResNet50 network to develop an autonomous detection model for smartphone-based retinal images. , EyePACS = 35,126 Images, Messidor = 1187 Images, Messidor-2 = 1748 Images , ACC = 91% SEN = 92% SPE = 90% , Only a few publicly available datasets were used to train and test the proposed model..

Techniques: Biomarker Discovery