Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey
Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting
new knowledge. By using DL, the extraction of advanced data representations and …
new knowledge. By using DL, the extraction of advanced data representations and …
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review
Background Artificial intelligence (AI) has served humanity in many applications since its
inception. Currently, it dominates the imaging field—in particular, image classification. The …
inception. Currently, it dominates the imaging field—in particular, image classification. The …
Deep transfer learning approaches for Monkeypox disease diagnosis
Monkeypox has become a significant global challenge as the number of cases increases
daily. Those infected with the disease often display various skin symptoms and can spread …
daily. Those infected with the disease often display various skin symptoms and can spread …
Machine learning and deep learning based computational approaches in automatic microorganisms image recognition: methodologies, challenges, and …
Microorganisms or microbes comprise majority of the diversity on earth and are extremely
important to human life. They are also integral to processes in the ecosystem. The process of …
important to human life. They are also integral to processes in the ecosystem. The process of …
Deep transfer with minority data augmentation for imbalanced breast cancer dataset
Clinical diagnosis of breast cancer is a challenging problem in the biomedical domain. The
BreakHis breast cancer histopathological image dataset consists of two classes: Benign …
BreakHis breast cancer histopathological image dataset consists of two classes: Benign …
Leveraging deep learning techniques for malaria parasite detection using mobile application
Malaria is a contagious disease that affects millions of lives every year. Traditional diagnosis
of malaria in laboratory requires an experienced person and careful inspection to …
of malaria in laboratory requires an experienced person and careful inspection to …
DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network
Abstract Diabetic Foot Ulcer (DFU) is the main complication of Diabetes, which, if not
properly treated, may lead to amputation. One of the approaches of DFU treatment depends …
properly treated, may lead to amputation. One of the approaches of DFU treatment depends …
Deep malaria parasite detection in thin blood smear microscopic images
Malaria is a disease activated by a type of microscopic parasite transmitted from infected
female mosquito bites to humans. Malaria is a fatal disease that is endemic in many regions …
female mosquito bites to humans. Malaria is a fatal disease that is endemic in many regions …
Artificial intelligence techniques for predictive modeling of vector-borne diseases and its pathogens: a systematic review
Vector-borne diseases (VBDs) have a significant impact on human and animal health. VBD
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
[HTML][HTML] A novel transfer learning-based model for diagnosing malaria from parasitized and uninfected red blood cell images
Malaria represents a potentially fatal communicable illness triggered by the Plasmodium
parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes …
parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes …