[HTML][HTML] An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier
Diabetes is a dreadful disease identified by escalated levels of glucose in the blood.
Machine learning algorithms help in identification and prediction of diabetes at an early …
Machine learning algorithms help in identification and prediction of diabetes at an early …
Application of deep learning in histopathology images of breast cancer: a review
With the development of artificial intelligence technology and computer hardware functions,
deep learning algorithms have become a powerful auxiliary tool for medical image analysis …
deep learning algorithms have become a powerful auxiliary tool for medical image analysis …
An integrated approach for monitoring social distancing and face mask detection using stacked ResNet-50 and YOLOv5
SARS-CoV-19 is one of the deadliest pandemics the world has witnessed, taking around
5,049,374 lives till now across worldwide and 459,873 in India. To limit its spread numerous …
5,049,374 lives till now across worldwide and 459,873 in India. To limit its spread numerous …
A Histopathological Image Classification Method Based on Model Fusion in the Weight Space
G Zhang, ZF Lai, YQ Chen, HT Liu, WJ Sun - Applied Sciences, 2023 - mdpi.com
Automatic classification of histopathological images plays an important role in computer-
aided diagnosis systems. The automatic classification model of histopathological images …
aided diagnosis systems. The automatic classification model of histopathological images …
Impact of ensemble-based models on cancer classification, its development, and challenges
Ensemble models use numerous learning algorithms in the area of statics and machine
learning to produce more significant predictions that can be accomplished by either of the …
learning to produce more significant predictions that can be accomplished by either of the …
Stock price prediction using bidirectional LSTM with attention
S Biswas - 2022 1st International Conference on AI in …, 2022 - ieeexplore.ieee.org
The stock market is one of the most important topics of today's economy due to its fluctuating
nature and far-reaching impact. Despite the difficulty of mathematical modeling of time …
nature and far-reaching impact. Despite the difficulty of mathematical modeling of time …
[PDF][PDF] Breast invasive ductal carcinoma diagnosis using machine learning models and Gabor filter method of histology images
Breast cancer is the most common type of cancer in women and the leading cause of death
from a malignant growth in the world. Machine learning methods have been created to help …
from a malignant growth in the world. Machine learning methods have been created to help …
Prediction of IDC Breast Cancer by the Application of Transfer Learning with an Ensemble Method
MI Hossain, A Billa, ME Karim - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Cancer mainly is the result of uncontrollable changes in genes. Hence breast cancer is a
result of the unstoppable growth of breast cells. A common type of breast cancer is Invasive …
result of the unstoppable growth of breast cells. A common type of breast cancer is Invasive …
Automated carcinoma classification using efficient nuclei-based patch selection and deep learning techniques
S Dhivya, S Mohanavalli… - Journal of Intelligent & …, 2023 - content.iospress.com
Breast cancer can be successfully treated if diagnosed at its earliest, though it is considered
as a fatal disease among women. The histopathology slide turned images are the gold …
as a fatal disease among women. The histopathology slide turned images are the gold …
Various Skin Cancer Classification & Detection using Deep learning
N Tiwari, A Sethia, A Raj… - 2024 10th …, 2024 - ieeexplore.ieee.org
Doctors have previously detected skin cancers and infections with their unaided eyes. But,
since humans make errors, this often ends in inaccurate detection. Even specialists find it …
since humans make errors, this often ends in inaccurate detection. Even specialists find it …