An efficient combination of convolutional neural network and LightGBM algorithm for lung cancer histopathology classification

EAR Hamed, MAM Salem, NL Badr, MF Tolba - Diagnostics, 2023 - mdpi.com
The most dangerous disease in recent decades is lung cancer. The most accurate method of
cancer diagnosis, according to research, is through the use of histopathological images that …

[PDF][PDF] Classification Of Colon Cancer Using Deep Learning Techniques On Histopathological Images

AA Khan, M Arslan, A Tanzil, RA Bhatty… - Migration …, 2024 - researchgate.net
Colon cancer is widely spread and deadly type of cancer in humans. Smoking contributes to
the growth of lung cancer, which leads to an unbalanced diet, which can lead to colon …

Al-biruni Earth radius optimization with transfer learning based histopathological image analysis for lung and colon cancer detection

R AlGhamdi, TO Asar, FY Assiri, RA Mansouri… - Cancers, 2023 - mdpi.com
Simple Summary Histopathological image analysis can be used for the detection of lung and
colon cancer by the investigation of microscopic images of tissue samples. Since manual …

[HTML][HTML] Weighing the benefits of lymphadenectomy in early-stage colorectal cancer

SM Baik, RA Lee - Annals of Surgical Treatment and Research, 2023 - ncbi.nlm.nih.gov
Recent advancements in endoscopic procedures have resulted in a growing diagnosis of
early colorectal cancer (CRC) cases, where classical en bloc lymph node (LN) dissection is …

A novel hybrid model for lung and colon cancer detection using pre-trained deep learning and KELM

J Gowthamy, S Ramesh - Expert Systems with Applications, 2024 - Elsevier
Cancer poses a significant threat to life due to its aggressive nature, high potential for
metastasis, and heterogeneity. Globally, both the men and women are mostly affected by …

Convolutional Neural Networks in the Diagnosis of Colon Adenocarcinoma

M Leo, P Carcagnì, L Signore, F Corcione… - AI, 2024 - mdpi.com
Colorectal cancer is one of the most lethal cancers because of late diagnosis and
challenges in the selection of therapy options. The histopathological diagnosis of colon …

Improved Water Strider Algorithm With Convolutional Autoencoder for Lung and Colon Cancer Detection on Histopathological Images

H Alqahtani, E Alabdulkreem, F Alotaibi… - IEEE …, 2023 - ieeexplore.ieee.org
Lung and colon cancers are deadly diseases that can develop concurrently in organs and
undesirably affect human life in some special cases. The detection of these cancers from …

[HTML][HTML] Computer-aided colorectal cancer diagnosis: AI-driven image segmentation and classification

ÇB Erdaş - PeerJ Computer Science, 2024 - peerj.com
Colorectal cancer is an enormous health concern since it is among the most lethal types of
malignancy. The manual examination has its limitations, including subjectivity and data …

Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification

MB Moin, FTJ Faria, S Saha, BK Rafa… - arXiv preprint arXiv …, 2024 - arxiv.org
Lung and colon cancer are serious worldwide health challenges that require early and
precise identification to reduce mortality risks. However, diagnosis, which is mostly …

Optimizing Knowledge Transfer in Sequential Models: Leveraging Residual Connections in Flow Transfer Learning for Lung Cancer Classification

R Sharma, S Kumar, A Shrivastava… - Proceedings of the …, 2023 - dl.acm.org
Lung cancer is a prevalent and life-threatening disease characterized by abnormal cell
growth in lung tissue. Early detection and accurate classification of lung cancer are crucial …