Simple Summary Transfer learning plays a major role in medical image analyses; however,
obtaining adequate training image datasets for machine learning algorithms can be …

Breast cancer is a significant factor in female mortality. An early cancer diagnosis leads to a
reduction in the breast cancer death rate. With the help of a computer-aided diagnosis …

Rice is a primary food and encounters an essential role in providing food security worldwide.
However, several diseases affect this crop that significantly reduces its production and …

Cytology is a low-cost and non-invasive diagnostic procedure employed to support the
diagnosis of a broad range of pathologies. Cells are harvested from tissues by aspiration or …

Bitewing radiographic imaging is an excellent diagnostic tool for detecting caries and
restorations that are difficult to view in the mouth, particularly at the molar surfaces. Labeling …

Histopathology images are very distinctive, one image may contain thousands of objects.
Transferring features from natural images to histopathology images may not provide …

Retinal disease is one of the diseases that cause visual symptoms or loss of vision in
humans. This disease can affect the choroid, which severely affects vision. Optical …

Fire hazard in public buildings may result in serious casualties due to the difficulty of
evacuation caused by intricate interior space and unpredictable development of fire …

Purpose: The aim of this paper is to demonstrate that it is possible to identify tree species
from images of barks by using transfer learning method with convolutional neural networks …

With the development of the smart grid, the traditional defect detection methods in
transmission lines are gradually shifted to the combination of robots or drones and deep …