A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities

S Dargan, M Kumar - Expert Systems with Applications, 2020 - Elsevier
Biometrics is the branch of science that deals with the identification and verification of an
individual based on the physiological and behavioral traits. These traits or identifiers are …

Deep learning modeling in microscopy imaging: A review of materials science applications

M Ragone, R Shahabazian-Yassar, F Mashayek… - Progress in Materials …, 2023 - Elsevier
The accurate analysis of microscopy images representing various materials obtained in
scanning probe microscopy, scanning tunneling microscopy, and transmission electron …

[HTML][HTML] Artificial intelligence-based mitosis detection in breast cancer histopathology images using faster R-CNN and deep CNNs

T Mahmood, M Arsalan, M Owais, MB Lee… - Journal of clinical …, 2020 - mdpi.com
Breast cancer is the leading cause of mortality in women. Early diagnosis of breast cancer
can reduce the mortality rate. In the diagnosis, the mitotic cell count is an important …

Towards complete and accurate iris segmentation using deep multi-task attention network for non-cooperative iris recognition

C Wang, J Muhammad, Y Wang, Z He… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Iris images captured in non-cooperative environments often suffer from adverse noise, which
challenges many existing iris segmentation methods. To address this problem, this paper …

Diagnosis of alternaria disease and leafminer pest on tomato leaves using image processing techniques

K Nazari, MJ Ebadi… - … of the Science of Food and …, 2022 - Wiley Online Library
BACKGROUND Diseases such as Alternaria and pests such as leafminer threaten tomato
as one of the most widely used agricultural products. These pests and diseases first damage …

[HTML][HTML] Aiding the diagnosis of diabetic and hypertensive retinopathy using artificial intelligence-based semantic segmentation

M Arsalan, M Owais, T Mahmood, SW Cho… - Journal of clinical …, 2019 - mdpi.com
Automatic segmentation of retinal images is an important task in computer-assisted medical
image analysis for the diagnosis of diseases such as hypertension, diabetic and …

[HTML][HTML] Robust iris segmentation algorithm in non-cooperative environments using interleaved residual U-Net

YH Li, WR Putri, MS Aslam, CC Chang - Sensors, 2021 - mdpi.com
Iris segmentation plays an important and significant role in the iris recognition system. The
prerequisite for accurate iris recognition is the correctness of iris segmentation. However, the …

[HTML][HTML] A coarse-to-fine deep learning based land use change detection method for high-resolution remote sensing images

M Wang, H Zhang, W Sun, S Li, F Wang, G Yang - Remote Sensing, 2020 - mdpi.com
In recent decades, high-resolution (HR) remote sensing images have shown considerable
potential for providing detailed information for change detection. The traditional change …

Iris recognition development techniques: a comprehensive review

JR Malgheet, NB Manshor, LS Affendey - Complexity, 2021 - Wiley Online Library
Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …

[HTML][HTML] Artificial intelligence-based diagnosis of cardiac and related diseases

M Arsalan, M Owais, T Mahmood, J Choi… - Journal of Clinical …, 2020 - mdpi.com
Automatic chest anatomy segmentation plays a key role in computer-aided disease
diagnosis, such as for cardiomegaly, pleural effusion, emphysema, and pneumothorax …