A deep analysis of brain tumor detection from mr images using deep learning networks
MI Mahmud, M Mamun, A Abdelgawad - Algorithms, 2023 - mdpi.com
Creating machines that behave and work in a way similar to humans is the objective of
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …
A deep analysis of textual features based cyberbullying detection using machine learning
MI Mahmud, M Mamun… - 2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Today's internet advancements boost our electronic connectivity to one another through the
use of social media platforms. Using social media has facilitated us in many ways, but it has …
use of social media platforms. Using social media has facilitated us in many ways, but it has …
Deep Learning Based Model for Alzheimer's Disease Detection Using Brain MRI Images
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that causes problems
with memory, thinking, and behavior. And with time, symptoms become severe enough to …
with memory, thinking, and behavior. And with time, symptoms become severe enough to …
Mhfit: Mobile health data for predicting athletics fitness using machine learning models
Mobile phones and other electronic gadgets/devices have aided in collecting data without
the need for data entry. This paper will specifically focus on Mobile health data (m-health) …
the need for data entry. This paper will specifically focus on Mobile health data (m-health) …
Heart disease detection using ml
Hearth disease is one of the leading causes of death globally and a common disease in the
middle and old ages. Among all heart diseases, heart attack and strokes are the most …
middle and old ages. Among all heart diseases, heart attack and strokes are the most …
Deep learning-based early parkinson's disease detection from brain mri image
Recent decade, Parkinson's disease (PD), which impairs the life quality for millions of older
people worldwide, has quickly emerged as a serious condition affecting the brain and spinal …
people worldwide, has quickly emerged as a serious condition affecting the brain and spinal …
A deep analysis of transfer learning based breast cancer detection using histopathology images
MI Mahmud, M Mamun… - 2023 10th International …, 2023 - ieeexplore.ieee.org
Breast cancer is one of the most common and dangerous cancers in women, while it can
also afflict men. Breast cancer treatment and detection are greatly aided by the use of …
also afflict men. Breast cancer treatment and detection are greatly aided by the use of …
Lcdctcnn: Lung cancer diagnosis of ct scan images using cnn based model
M Mamun, MI Mahmud, M Meherin… - … Conference on Signal …, 2023 - ieeexplore.ieee.org
The most deadly and life-threatening disease in the world is lung cancer. Though early
diagnosis and accurate treatment are necessary for lowering the lung cancer mortality rate …
diagnosis and accurate treatment are necessary for lowering the lung cancer mortality rate …
Mlheartdis: Can machine learning techniques enable to predict heart diseases?
Heart disease is contributing one of the leading reasons of death in the contemporary world.
The three major danger signs for heart disease are smoking, high blood pressure and …
The three major danger signs for heart disease are smoking, high blood pressure and …
An adaptive intelligent polar bear (aipb) optimization-quantized contempo neural network (qcnn) model for parkinson's disease diagnosis using speech dataset
S Pragadeeswaran, S Kannimuthu - Biomedical Signal Processing and …, 2024 - Elsevier
The design and development of an automated Parkinson's disease (PD) diagnosis
framework still remains one of the most complex and crucial tasks in the present day. In the …
framework still remains one of the most complex and crucial tasks in the present day. In the …