A Detailed Investigation and Analysis of Using Machine Learning Techniques for Thyroid Diagnosis
A Method of Classification Based on Norms Data mining greatly benefits several subfields
within the healthcare industry. Detecting and treating diseases at an early stage is a …
within the healthcare industry. Detecting and treating diseases at an early stage is a …
Machine Learning-Based Detection of Cardiovascular Disease using Classification and Feature Selection
The application of ameliorative datasets to foretell chronic diseases has grasped
considerable attention amongst data scientists all around the globe. The study is based on …
considerable attention amongst data scientists all around the globe. The study is based on …
Development of a model for the prediction of lumpy skin diseases using machine learning techniques
OM Olaniyan, OJ Adetunji, AM Fasanya - ABUAD Journal of Engineering …, 2023 - ajol.info
Lumpy skin diseases virus (LSDV) is a dangerous and contagious diseases that are mostly
common in Sub-Saharan African, South Eastern Europe, South Asia and as well as Middle …
common in Sub-Saharan African, South Eastern Europe, South Asia and as well as Middle …
Livestock animal skin disease detection and classification using deep learning approaches
DW Girmaw - Biomedical Signal Processing and Control, 2025 - Elsevier
The manual methods of identifying skin diseases in animals are labor intensive, time-
consuming, and inaccurate. Because of the absence of medical materials, the veterinarian's …
consuming, and inaccurate. Because of the absence of medical materials, the veterinarian's …
[HTML][HTML] Early Detection of Lumpy Skin Disease in Cattle Using Deep Learning—A Comparative Analysis of Pretrained Models
C Senthilkumar, G Vadivu, S Neethirajan - Veterinary Sciences, 2024 - mdpi.com
Abstract Lumpy Skin Disease (LSD) poses a significant threat to agricultural economies,
particularly in livestock-dependent countries like India, due to its high transmission rate …
particularly in livestock-dependent countries like India, due to its high transmission rate …
Alzheimer's Disease Detection and Classification: An Ensemble Machine Learning Paradigm
In industrialized nations, Alzheimer's disease (AD) ranks among the top ten causes of death.
Research, including the use of computer-aided algorithms, has yielded outstanding results …
Research, including the use of computer-aided algorithms, has yielded outstanding results …
Epithelial Tissue Classification using Pre-Trained Deep Convolutional Neural Networks
Machine learning models can analyze medical images in a more objective and complete
manner since they are algorithmic and automated. Many research efforts have explored …
manner since they are algorithmic and automated. Many research efforts have explored …
Stacking Ensemble of Capsule Network and Multi-Hidden Layer Extreme Learning Machine for Enhanced Lumpy Skin Disease Diagnosis
G Mallikarjun, VA Narayana - Informatica, 2024 - informatica.si
Abstract production and raise chances of calf mortality. This has raised the alarm on disease
detection, in livestock. A novel model has been developed on the problem of skin disease …
detection, in livestock. A novel model has been developed on the problem of skin disease …
Implementation of Lumpy Skin Disease Detection Using Machine Learning Approach
D Patil, M Pawar, M Jaiswal, P Rane… - 2024 IEEE Recent …, 2024 - ieeexplore.ieee.org
Lumpy skin disease (LSD), a contagious ailment that can swiftly disseminate within cattle
populations, presents a serious risk to the cattle industry's finances. Timely identification and …
populations, presents a serious risk to the cattle industry's finances. Timely identification and …
Enhancing Toxoplasmosis Chorioretinitis Detection: A Hybrid ResNet-YOLO Classifier with Fitness Sorted-Shark Smell Optimization
Ophthalmologists often examine fundus pictures to detect toxoplasmosis chorioretinitis, a
serious condition of the eye. Preventing blindness in people who may be impacted by this …
serious condition of the eye. Preventing blindness in people who may be impacted by this …