Breast cancer detection using artificial intelligence techniques: A systematic literature review
Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has
been developed for it. Breast cancer is one of the most common cancer types. According to …
been developed for it. Breast cancer is one of the most common cancer types. According to …
Machine learning methods for cancer classification using gene expression data: A review
F Alharbi, A Vakanski - Bioengineering, 2023 - mdpi.com
Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells
that can spread in different parts of the body. According to the World Health Organization …
that can spread in different parts of the body. According to the World Health Organization …
A stacking ensemble deep learning approach to cancer type classification based on TCGA data
Cancer tumor classification based on morphological characteristics alone has been shown
to have serious limitations. Breast, lung, colorectal, thyroid, and ovarian are the most …
to have serious limitations. Breast, lung, colorectal, thyroid, and ovarian are the most …
Deep learning based methods for breast cancer diagnosis: a systematic review and future direction
Breast cancer is one of the precarious conditions that affect women, and a substantive cure
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …
Multi-class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN)
M Heenaye-Mamode Khan, N Boodoo-Jahangeer… - Plos one, 2021 - journals.plos.org
The real cause of breast cancer is very challenging to determine and therefore early
detection of the disease is necessary for reducing the death rate due to risks of breast …
detection of the disease is necessary for reducing the death rate due to risks of breast …
Single-cell sequencing: a promising approach for uncovering the mechanisms of tumor metastasis
Y Han, D Wang, L Peng, T Huang, X He… - Journal of hematology & …, 2022 - Springer
Single-cell sequencing (SCS) is an emerging high-throughput technology that can be used
to study the genomics, transcriptomics, and epigenetics at a single cell level. SCS is widely …
to study the genomics, transcriptomics, and epigenetics at a single cell level. SCS is widely …
A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data
Breast cancer is considered one of the significant health challenges and ranks among the
most prevalent and dangerous cancer types affecting women globally. Early breast cancer …
most prevalent and dangerous cancer types affecting women globally. Early breast cancer …
[Retracted] Gene Expression‐Assisted Cancer Prediction Techniques
Cancer is one of the deadliest diseases and with its growing number, its detection and
treatment become essential. Researchers have developed various methods based on gene …
treatment become essential. Researchers have developed various methods based on gene …
Machine learning for the advancement of genome-scale metabolic modeling
Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …
interrelations between genotype, phenotype, and external environment. The recent …
A review on computational methods for breast cancer detection in ultrasound images using multi-image modalities
S Sushanki, AK Bhandari, AK Singh - Archives of Computational Methods …, 2024 - Springer
Breast cancer is a kind of cancer that develops and propagates from tissues of the breast
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …