Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm
In the last decade, there has been a significant increase in medical cases involving brain
tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people …
tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people …
A vision transformer based approach for analysis of plasmodium vivax life cycle for malaria prediction using thin blood smear microscopic images
Background and objectives Microscopic images are an important part for haematologists in
diagnosing various diseases in the blood cell. Changes in blood cells are caused by malaria …
diagnosing various diseases in the blood cell. Changes in blood cells are caused by malaria …
Enhancing parasitic organism detection in microscopy images through deep learning and fine-tuned optimizer
Parasitic organisms pose a major global health threat, mainly in regions that lack advanced
medical facilities. Early and accurate detection of parasitic organisms is vital to saving lives …
medical facilities. Early and accurate detection of parasitic organisms is vital to saving lives …
Diagnosing gastrointestinal diseases from endoscopy images through a multi-fused CNN with auxiliary layers, alpha dropouts, and a fusion residual block
FJP Montalbo - Biomedical signal processing and control, 2022 - Elsevier
In this work, a proposed Multi-Fused Residual Convolutional Neural Network (MFuRe-CNN)
with Auxiliary Fusing Layers (AuxFL), a Fusion Residual Block (FuRB) both with Alpha …
with Auxiliary Fusing Layers (AuxFL), a Fusion Residual Block (FuRB) both with Alpha …
Autokeras approach: A robust automated deep learning network for diagnosis disease cases in medical images
Automated deep learning is promising in artificial intelligence (AI). However, a few
applications of automated deep learning networks have been made in the clinical medical …
applications of automated deep learning networks have been made in the clinical medical …
Diagnosis of malaria using double hidden layer extreme learning machine algorithm with CNN feature extraction and parasite inflator
Malaria, a life-threatening disease worldwide, can be diagnosed using antigen tests and
microscopy tests. However, both of them are erroneous and time-consuming. Therefore, a …
microscopy tests. However, both of them are erroneous and time-consuming. Therefore, a …
Shark-EYE: A deep inference convolutional neural network of shark detection for underwater diving surveillance
NE Merencilla, AS Alon, GJO Fernando… - 2021 International …, 2021 - ieeexplore.ieee.org
People are anxious about the potential dangers of scuba diving and like in all sports, there
are dangers involved in it. Typically, people think sharks and shark attacks are the dangers …
are dangers involved in it. Typically, people think sharks and shark attacks are the dangers …
Deep-hand: a deep inference vision approach of recognizing a hand sign language using american alphabet
Sign-Language is to help people with hearing or speaking disabilities who are not able to
communicate well with other people. Communicating with deaf people is a challenge for …
communicate well with other people. Communicating with deaf people is a challenge for …
[HTML][HTML] Truncating a densely connected convolutional neural network with partial layer freezing and feature fusion for diagnosing COVID-19 from chest X-rays
FJP Montalbo - MethodsX, 2021 - Elsevier
Deep learning and computer vision revolutionized a new method to automate medical
image diagnosis. However, to achieve reliable and state-of-the-art performance, vision …
image diagnosis. However, to achieve reliable and state-of-the-art performance, vision …
An efficient lymphocytic leukemia detection based on EfficientNets and ensemble voting classifier
D Baby, S Juliet, MM Anishin Raj - International Journal of …, 2023 - Wiley Online Library
Early detection of leukemia increases the chances of a speedier recovery. If a patient
exhibits any symptoms, doctors would often examine a blood sample slide under a …
exhibits any symptoms, doctors would often examine a blood sample slide under a …