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Deep learning paradigms in lung cancer diagnosis: A methodological review, open challenges, and future directions
Lung cancer is the leading cause of global cancer-related deaths, which emphasizes the
critical importance of early diagnosis in enhancing patient outcomes. Deep learning has …
critical importance of early diagnosis in enhancing patient outcomes. Deep learning has …
Effective lung cancer diagnosis using multi-focus fusion of CT and PET images with deep learning strategies
Lung cancer is among the most prevalent forms of the disease. This study describes multi-
modal image fusion for lung cancer diagnosis using a combination of PET and CT images …
modal image fusion for lung cancer diagnosis using a combination of PET and CT images …
Temporal convolutional network for a Fast DNA mutation detection in breast cancer data
Early detection of breast cancer can be achieved through mutation detection in DNA
sequences, which can be acquired through patient blood samples. Mutation detection can …
sequences, which can be acquired through patient blood samples. Mutation detection can …
Sequential labelling and DNABERT For splice site prediction in Homo Sapiens DNA
Genome sequencing technology has improved significantly in few last years and resulted in
abundance genetic data. Artificial intelligence has been employed to analyze genetic data in …
abundance genetic data. Artificial intelligence has been employed to analyze genetic data in …
[PDF][PDF] Horizontal Sequence Pooling Technique in Convolutional Neural Networks to Optimize Feature Extraction for DNA Sequence Classification
The exact positioning of features within the sequence is important in Deoxyribonucleic Acid
(DNA) sequence classification, as it encodes the unique genetic information of each …
(DNA) sequence classification, as it encodes the unique genetic information of each …
The International Arab Journal of Information Technology (IAJIT)
The exact positioning of features within the sequence is important in Deoxyribonucleic Acid
(DNA) sequence classification, as it encodes the unique genetic information of each …
(DNA) sequence classification, as it encodes the unique genetic information of each …
[PDF][PDF] A New Technique for Genetic Mutations Detection and Classification Using Deep Learning
RH Saloom, HK Khafaji - inass.org
Numerous variables, such as changes in the environment, toxins, spontaneous mutations,
and replication mistakes, can have an impact on DNA. It is known as a gene mutation when …
and replication mistakes, can have an impact on DNA. It is known as a gene mutation when …