Optimized Deep Learning Models for Early Prediction and Analysis of Colorectal Cancer

Colorectal cancer (CRC) is a significant global health concern, ranking as the third most common cancer and the second leading cause of cancer-related deaths. It primarily affects the large intestine and rectum, with an estimated 930,000 deaths attributed to CRC in 2020, accounting for 10% of all cancer fatalities worldwide(Fadlallah et al., 2024) (Roshandel et al., 2024). The disease often develops from precancerous lesions, making early detection through screening vital for effective management("Colorectal cancer", 2023).

Authors

Publication Details

Journal
Frontiers in Health Informatics
Published
2024-12-26
DOI
https://doi.org/10.63682/fhi1589
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.81
Controls
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article

Optimized Deep Learning Models for Early Prediction and Analysis of Colorectal Cancer

Kalpana K. Bhanumathy, G. N. K. Suresh Babu
2 citations
Frontiers in Health Informatics
Radiomics and Machine Learning in Medical Imaging
0.81
article

Optimized Deep Learning Models for Early Prediction and Analysis of Colorectal Cancer

Kalpana K. Bhanumathy, G. N. K. Suresh Babu
article en
2 citations

Abstract

Colorectal cancer (CRC) is a significant global health concern, ranking as the third most common cancer and the second leading cause of cancer-related deaths. It primarily affects the large intestine and rectum, with an estimated 930,000 deaths attributed to CRC in 2020, accounting for 10% of all cancer fatalities worldwide(Fadlallah et al., 2024) (Roshandel et al., 2024). The disease often develops from precancerous lesions, making early detection through screening vital for effective management("Colorectal cancer", 2023).

Frontiers in Health Informatics
Good health and well-being
Openalex Percentile: Top 23%
Radiomics and Machine Learning in Medical Imaging
0.81
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