PAtbP-EnC: Identifying anti-tubercular peptides using multi-feature representation and genetic algorithm-based deep ensemble model
Mycobacterium tuberculosis, a highly perilous pathogen in humans, serves as the causative
agent of tuberculosis (TB), affecting nearly 33% of the global population. With the increasing …
agent of tuberculosis (TB), affecting nearly 33% of the global population. With the increasing …
Enhancing lung cancer detection through hybrid features and machine learning hyperparameters optimization techniques
Abstract Machine learning offers significant potential for lung cancer detection, enabling
early diagnosis and potentially improving patient outcomes. Feature extraction remains a …
early diagnosis and potentially improving patient outcomes. Feature extraction remains a …
Using hybrid pre-trained models for breast cancer detection
Breast cancer is a prevalent and life-threatening disease that affects women globally. Early
detection and access to top-notch treatment are crucial in preventing fatalities from this …
detection and access to top-notch treatment are crucial in preventing fatalities from this …
Comparative analysis of features and classification techniques in breast cancer detection for Biglycan biomarker images
BACKGROUND: Breast cancer (BC) is considered the world's most prevalent cancer. Early
diagnosis of BC enables patients to receive better care and treatment, hence lowering …
diagnosis of BC enables patients to receive better care and treatment, hence lowering …
Machine Learning Classification Algorithms for Accurate Breast Cancer Diagnosis
MS Alzboon, S Qawasmeh, M Alqaraleh… - … on Emerging Smart …, 2023 - ieeexplore.ieee.org
The introduction of algorithms based on machine learning (ML) has revolutionized computer
science by allowing machines to learn without explicit programming. These algorithms …
science by allowing machines to learn without explicit programming. These algorithms …
TOWARD EFFECTIVE BREAST CANCER DETECTION IN THERMAL IMAGES USING EFFICIENT FEATURE SELECTION ALGORITHM AND FEATURE …
SMZ Moayedi, A Rezai… - … : Applications, Basis and …, 2024 - World Scientific
In this paper, an intelligent method is developed for improving the performance of the
Computer-Aided Detection (CAD) system. The research objective is to improve the …
Computer-Aided Detection (CAD) system. The research objective is to improve the …
Power of kernel functions, its benefits, and limitations
R Indu, SC Dimri - 2023 International Conference on Intelligent …, 2023 - ieeexplore.ieee.org
In today's realm of machine learning, the non-linearity of data is the problem often faced
during data analysis. A well-known supervised learning algorithm that is known to efficiently …
during data analysis. A well-known supervised learning algorithm that is known to efficiently …
A Study on Computer Aided Techniques for Histopathology Based Breast Cancer Classification
A Sumitha, RI RS - 2023 International Conference on Circuit …, 2023 - ieeexplore.ieee.org
Cancer is regarded to be among the most dangerous illnesses among human beings,
because there is no successful treatment. The most prevailing type of cancer among women …
because there is no successful treatment. The most prevailing type of cancer among women …
Signage Detection Based on Adaptive SIFT
J Wang, S Chen, J Shao, H Qu, Z Wang - International Conference on …, 2023 - Springer
In navigation and wayfinding applications, signage is crucial for finding destinations. This
paper proposes a new method for detecting signage, with the aim of helping blind …
paper proposes a new method for detecting signage, with the aim of helping blind …