[HTML][HTML] Using new technologies to analyze gut microbiota and predict cancer risk

MA Hemmati, M Monemi, S Asli, S Mohammadi… - Cells, 2024 - mdpi.com
The gut microbiota significantly impacts human health, influencing metabolism,
immunological responses, and disease prevention. Dysbiosis, or microbial imbalance, is …

[HTML][HTML] DenseUNet+: A novel hybrid segmentation approach based on multi-modality images for brain tumor segmentation

H Çetiner, S Metlek - Journal of King Saud University-Computer and …, 2023 - Elsevier
Segmentation of brain tumors is of great importance for patients in clinical diagnosis and
treatment. For this reason, experts try to identify border regions of special importance using …

Hematologic cancer diagnosis and classification using machine and deep learning: State-of-the-art techniques and emerging research directives

H Patel, H Shah, G Patel, A Patel - Artificial Intelligence in Medicine, 2024 - Elsevier
Hematology is the study of diagnosis and treatment options for blood diseases, including
cancer. Cancer is considered one of the deadliest diseases across all age categories …

Empowering diagnosis: cutting-edge segmentation and classification in lung cancer analysis

I Naseer, T Masood, S Akram, Z Ali… - Computers …, 2024 - repository.essex.ac.uk
Lung cancer is a leading cause of global mortality rates. Early detection of pulmonary tumors
can significantly enhance the survival rate of patients. Recently, various Computer-Aided …

DARNet: Deep Attention Module and Residual Block-Based Lung and Colon Cancer Diagnosis Network

M Kaur, D Singh, AA Alzubi, A Shankar… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Accurate and efficient lung and colon cancer classification is vital for early detection and
treatment planning. Traditional methods require manual effort and expert analysis, leading …

[HTML][HTML] Predicting DNA sequence splice site based on graph convolutional network and DNA graph construction

L Rentao, L Yelin, G Lixin, L Mengshan - Journal of King Saud University …, 2024 - Elsevier
Identifying splice sites is essential for gene structure analysis and eukaryotic genome
annotation. Recently, computational and deep learning approaches for splice site detection …

Ensemble approach of deep learning models for binary and multiclass classification of histopathological images for breast cancer

M Pal, G Panda, RK Mohapatra, A Rath, S Dash… - … -Research and Practice, 2024 - Elsevier
Breast cancer (BC) is the most frequently occurring cancer disease observed in women after
lung cancer. Out of different stages, invasive ductal BC causes maximum deaths in women …

Prediction of essential proteins using genetic algorithm as a feature selection technique

M Inzamam-Ul-Hossain, MR Islam - IEEE Access, 2024 - ieeexplore.ieee.org
Essential proteins play a vital role in the preparation of antibiotics, disease diagnosis, and
understanding the structure of an organism. It is crucial for cell survival and is associated …

Optimized colon cancer classification via feature selection and machine learning

SH Bouazza, JH Bouazza - Bulletin of Electrical Engineering and …, 2025 - beei.org
The increasing dimensionality of gene expression data poses significant challenges in
cancer classification, particularly in colon cancer. This study presents a novel filtering …

DeepResVit: A Hybrid Deep Learning Approach for Ovarian Cancer Classification with XAI

MS Al Huda, RA Arman, TE Shrestha… - … on Information and …, 2024 - ieeexplore.ieee.org
Ovarian cancer is one of the most prevalent cancers in women and primarily results from the
uncontrollable growth and division of abnormal cells in the ovary. Early detection is essential …